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How Do You Describe Analytical Skills on a Resume?

11 min read · Updated on December 11, 2023

Robert Lyons

Analytical skills are in high demand and can help you stand it out from the competition. But how do you communicate them in the right way on your resume? This blog will walk you through each step.

Challenges inevitably arise at work. Employers cherish employees with unique abilities to face problems and find solutions.

Analytical skills allow you to assess data and processes to find solutions that can boost productivity and address a company's challenges. Many job descriptions even include some form of analytical skills as a requirement.

It's one thing to possess problem-solving skills – being able to describe them clearly on your resume is another.  Anyone can say they are a “critical thinker” or that they “think outside the box,” but those cliched phrases are easily dismissed, especially if there are no accomplishments on your resume to support the claim.

How do you describe your analytical skills in ways specific enough to attract a reader's attention? How do you demonstrate that they have brought tangible value?

In this blog, we'll cover:

What are analytical skills?

Why do they belong on a resume?

Where to place your analytical skills on your resume

The skills that enable you to investigate a problem and find the ideal solution in a timely, efficient manner are known as analytical skills.

Analytical skills are used when detecting patterns, brainstorming, interpreting data, integrating information, and making decisions based on multiple factors. They can encompass both quantitative and methodical skills or more creative and innovative abilities. 

If you're unsure which analytical skills you possess, if any, take a detailed look at your accomplishments and your methods for getting the best results. You might have more than you think.

Here are a few analytical skills to get you started:

A creative eye can spot trends in data that others may not see. Creativity is also useful for problem-solving when the obvious solution is not always the best solution. Creative thinkers often find effective solutions to big problems.

Creative skills include: brainstorming, collaboration, optimization, predictive modeling, restructuring, strategic planning, and integration.

Critical thinking 

Thinking critically means being able to avoid the obvious. It refers to evaluating information and then making a decision based on your findings, often exploring even impossible angles to find a solution. Critical thinking is what helps an employee make decisions that help solve problems for a company. 

Critical thinking skills include: process management, auditing, benchmarking, big data analytics, case analysis, causal relationships, comparative analysis, correlation, deductive reasoning, inductive reasoning, diagnostics, dissecting, evaluating, data interpretation, and troubleshooting.


Once you have a solution, you have to communicate it to your colleagues so that it can be shared and implemented. Effective communicators know how to discuss patterns, conclusions, and recommendations. They know how to draw attention and inspire colleagues. If the goal is to find a solution as a group, good communicators also know how to lead teams in effective collaboration.

Analytical communication skills include: problem sensitivity, active listening, reporting, surveying, teamwork, oral communication, written communication, and conducting presentations.

Data analysis

Data analysis is the ability to systematize information in order to uncover patterns and dependencies. No matter what the career field might be, data analysis involves being able to examine a large volume of data and identify trends in that data. It goes beyond simply reading and comprehending the information to clarifying larger concepts and presenting conclusions for top decision-makers. It can also involve the ability to see past the data and find the “spaces in between”. Sometimes the data you need isn't obvious. You need not only to see what is in front of you, but what is missing. 

Data analysis skills include: observation, business analysis, SWOT analysis (strengths, weaknesses, opportunities, and threats), cost analysis, credit analysis, financial analysis, industry research, policy analysis, predictive analytics, process analysis, qualitative analysis, and ROI analysis.

Why are analytical skills important on your resume?

Facing and overcoming challenges is critical to a company's survival. An employee with analytical skills can find new solutions to problems that arise and can lead teams down new paths to bolster efficiency, productivity, and profitability. Decisions and actions are based on those skills. This is why the most sought-after employees and executives have a proven record of verifiable analytical skills. 

The ability to see trends, draw conclusions, and communicate options is a must in finances, data science, medicine, marketing, law, and many more industries.

That's why it's crucial to highlight what analytical skills you have for a potential hiring manager. But, simply saying you have “analytical” or “critical thinking” skills in a cover letter means next to nothing. Use your resume to demonstrate your skills in action.

How to demonstrate analytical skills on your resume

The keyword here is “demonstrate”, as in demonstrate the skill or skills in use. Countless resumes will use phrases like “critical thinker”, “communicator” or “solution-oriented”, but can you show how you've utilized a skill in a way that has brought value to an employer? 

Give examples of situations in your job where those skills lead to a solution

Describe a specific process you utilized

List major achievements enable by your analytical skills

Include specific training courses related to analytical skills

Use synonyms to avoid repeating “analyzed,” “analysis,” and “analytical skills.”

Where do I list analytical skills on the resume?

The summary.

The summary is a good place to introduce a skill that has served you repeatedly throughout your career. If you've assisted clients in analyzing their workflow, have often been called upon to find unique solutions, or are a manager known for leading teams through difficult situations, this is the place to introduce that.

Here's an example: Solutions-driven market analyst with 6+ years of experience consulting businesses on trends and products. Lead partner for Consulting Company X. Extensive experience with digital transformation. Revolutionized a client's reach by 20% by taking them online.

Work history

The work history is the ideal place to list analytical skills that lead to demonstrable successes. Here, you have the opportunity to use stats, percentages, and dollar amounts to show how your ability to assess and solve problems increased revenue, advanced markets, or led teams.

In the work history section, you're less likely to use the terms that define analytical skills and more likely to describe them indirectly by showing the success they've brought. 

Make use of the STAR (Situation–Task–Action–Result) model when selecting accomplishments to list in your work history. 

Situation: The employer wanted to achieve a target. 

Task: You were tasked with devising solutions to meet this target.

Action: What steps you took to perform the task. (also, what analytical skills you used)

Result: What was the result of your actions?

When phrasing the accomplishment in your work history, follow the ATM model: Action verb // Task // Metric . Here's an example:

Analyzed $80k/month marketing spend // to optimize reach ; // increased conversion by 15% MoM and d ecreased cost per acquisition by 20%

Take a look at the following example. This resume shows how this person's strong data analysis and market research skills helped advance his company into a new market; how their process analysis skills helped optimize their inventory system; and how their communication skills helped them train and manage staff. The words “invented” and “generated” also elicit creativity.


Project Manager

Artus Springs - Phoenix, AZ

01/2017 - 02/2020

Developed a market entry strategy for the Northwest market, leading to $1.3 million in new market revenue in the first 2 years of operations

Increased stock turnover by 30% and KPIs by 15% by overhauling the inventory management process

Successfully managed a 5-member leadership team

Organized and led events with 40 suppliers

Recruited and trained  a diverse team composed of 100+ brand ambassadors

Invented cross-category marketing solutions, bringing +12% market advertising penetration

The skills section

Because analytical skills are often listed in job descriptions, hiring managers will look for them in the skills section. ATS systems will also scan the skills section to filter for resumes with relevant skills. So, if the job listing to which you are applying clearly lists specific analytical skills that you have, be sure they are listed in your skills section as well. 

Beyond that, it's important to list your analytical skills here in any case. But beware – less is more. Don't list every analytical skill in existence. The key is to list skills that specifically relate to the job or have a strong focus on the industry. Remember, it's crucial to tailor each resume to a specific job offer. That includes the skills section. For example, if the job posting doesn't explicitly list desired skills, look for keywords in the job description that might allude to helpful analytical skills. Is it a management position? Communication skills are a must. Is it a sales position that expresses a hope to expand markets? Market analysis and projection modeling are key.

Also, whichever skill you list in the skills section, be ready to be asked about it in an interview. Before you add a skill to your list, consider whether you can back it up with an anecdote, evidence, or achievement.

The next key is to strive for word choices that are as specific as possible. If the job description calls for “communication”, of course, list that. But is there a specific area of communication in which you excel? Do you have experience with “team management,” “surveying,” or “giving presentations”?

Remember there are both soft skills and hard skills that qualify as analytical skills. “Data analysis” can be trained, but “market prediction” is a skill developed with experience. When considering which analytical skills you possess, look to both categories.

See this example for a research assistant resume:


analytical skills

deductive reasoning



qualitative analysis

quantitative analysis

strategic thinking

data management systems

A special achievements section

An achievements section doesn't occur on every resume, but there are a couple of reasons to include one. For example, an accomplishments section can be helpful if you have impressive achievements outside of the workplace, such as community organizing, volunteering, or hobbies with impressive, relatable skills. 

If you're in a senior executive position in your career, it can be helpful to add a Career Highlights section at the top of your resume, showcasing the many accomplishments you've achieved throughout your career.

On the opposite end, if you're just beginning your career journey, but have significant achievements in school or your community, an accomplishments section is a great place to list them.

If you're looking to use this section to highlight your analytical skills, make sure to focus on accomplishments with demonstrable results.

See the examples below.

Example #1: outside the workplace


Raised $10,000 for lymphoma research through community fundraisers

Created annual “Feed the Homeless” events within my community, raising $1,500 avg.

Led Girl Scout Troops on hikes of the full length of the Appalachian Trail in 2018-2022

Example #2: career highlights


Led a team of 15 employees in a local call center location for more than 5 years

Created and implemented a new training program which resulted in a 25% increase in customer satisfaction

Managed an international customer service team of 25+ employees

Implemented Lean Management directives at company X, which cut overall operating cost by 35%

Example #3: recent graduate


Tutored SAT and ACT improving their test scores by 40% for the average student.

Tutored 4 students in linear algebra, helping them improve by two grades on average.

Organized debate club travel logistics for away meets.

Analytical skills in your education section

If you have a degree, advanced training, or other qualification that could help demonstrate analytical skills, make sure you list it in your education section. Majors in computer science, engineering, mathematics, or statistics demonstrate analytical skills. If you're a recent graduate, include relevant minors. If the job is specifically looking for particular skills and you've taken seminars or have received certifications for new skills, be sure to highlight them under education.

Davis University, Bachelor of Science

Major in Computer Science

Minor in Statistics

Teaching assistant Sept 2019 - May 2020

Analytical skills are in high demand. Understanding how to communicate yours effectively on your resume will help you stand it out from the competition. Be specific and authentic. 

Analytical skills are those skills that allow you to discover patterns, think critically and find unique solutions for success. Consider not only your greatest achievements but also your day-to-day successes when looking for your analytical skills. 

TopResume understands that talking about skills and achievements can be a difficult challenge. Reach out to our expert team of resume writers to help build your resume that successfully highlights your skills. 

Recommended reading:

What's an ATS-Friendly Resume? And How to Write One | TopResume  

How to Write a Chronological Resume (Tips + Examples) | TopResume  

Resume Objective Examples That Get You Hired | TopResume

Related Articles:

Do Hiring Managers Actually Read Cover Letters?

How to Create a Resume With No Education

Why You Lose When You Lie on Your Resume: Learning From Mina Chang

See how your resume stacks up.

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Strong Analytical Thinking Skills: Example Usage on Resume, Skill Set and Top Keywords in 2024

Here are the top ways to show your analytical thinking skills on your resume. Find out relevant analytical thinking keywords and phrases and build your resume today.

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Is your resume ATS-friendly?

Drop your resume here or upload a file to find out if the skills in your resume are readable by an ATS.

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What are analytical thinking skills?

Why are analytical thinking skills important on your resume.

  • What traits, skills, and abilities help you demonstrate strong analytical skills on your resume?"?

How to demonstrate strong analytical thinking skills on your resume

Analytical thinking skills are a set of soft skills that help you recognize, collect and process data related to a problem that needs to be solved efficiently. They also help you identify improvement possibilities or predict and prevent disaster.

Great analytical thinking skills usually cover a spectrum of abilities such as Communication, Creativity, Critical thinking, Data analysis, and Research.

To demonstrate what we mean, let’s have a quiz. In WW2, the RAF aimed to reinforce their airplanes so that they have a better chance of survival. They knew which parts of the airplane received the most bullet holes. So, what did they do? Keep reading and you will find out.

Because analytical thinking skills are a set, you will need to demonstrate them indirectly in your resume, highlighting the abilities we mentioned a few lines earlier. HR officers will look for them in the skill section, especially if the job title you are applying for contains the word “analyst”.

In simple words, analytical thinking skills ensure survival and progress. In the corporate world, analytical skills are vital for making an enterprise profitable. Those with analytical skills show the way and lead the path. Decisions and actions are based on those skills and without them, any company is doomed. This is why the most sought-after employees and executives are the ones with a proven record of analytical thinking. To see patterns and trends, to draw logical conclusions, and be able to communicate that within the organization is a must in finances, data science, medicine, marketing, law, and many more well-paid and prestigious positions.

What traits, skills, and abilities help you demonstrate strong analytical skills on your resume?"?

  • Observation skills and curiosity : sometimes the data you need to solve a problem is not delivered to your desk. You need not only to see what is in front of you, but what is missing. Remember our RAF planes? Some came back, but some did not.
  • Research : once you notice a problem, you will have to look for data. Here you need to be patient, study the problem, and collect all the relevant information and data you can. You need to be creative in finding places where to look for it.
  • Data analysis : to analyze data, you need to be able to concentrate and systematize the information. This is where the patterns and dependencies will show up. Your job is to make sense of it and come up with a conclusion.
  • Creativity and Critical thinking : to be able to think critically and creatively means to be able to avoid the obvious. Often, critical thinking means exploring even impossible angles to find a solution. A good example that comes to mind is Israel’s 10th man approach, depicted in the movie “Z world war”. The rule states that the 10th member of their council is obligated to doubt anything if all nine others agree on a decision. By the way, do you still think about the RAF planes? Back then they found the solution, avoiding the obvious.
  • Communication : once you have a solution, you will need to find a way to communicate it to your colleagues. Here you need to know how to present the information when to present it, how to draw attention and how to inspire.
  • Give examples with critical situations on your job that demonstrate those skills
  • Describe a specific process or method you use
  • Think of major achievements and breakthroughs made possible by your analytical skills
  • If you practice brain games and read a lot of books, make sure to include this in the “Interests” section, as these improve analytical skills.
  • List specific courses or certificates related to analytical skills

Writing “Strong analytical thinking skills” on your resume is simply not enough. You will need to prove your case, convincing the HR officer that you might be able to think analytically. You have to show examples, achievements and be creative. Remember, the HR officer uses analytical skills as well to find a suitable candidate.

Below you will find relevant examples that will help you start:

Example 1: Show your analytical thinking skills in your experience bullet point

  • • Developed a market entry strategy in California, targeting 1 million bottles sold in the first year of operations
  • • Increased the store turnover by 20%and the main KPIs by 15% by proficient management of stock and orders
  • • Successfully managed and motivated a 5-member team, reducing the staff turnover to 0
  • • Successfully managed events with more than 50 suppliers involved and up to 500 participants
  • • Recruited, trained and managed multicultural team composed of approximately 100 persons
  • • First ever digital content into TV integration increased impressions +2%
  • • Invented a cross-category solutions, bringing +3% penetration on Telivus portfolio and +5.7% sales increase

Example taken from our Project Manager resume guide

The applicant demonstrates strong analytical skills by meeting his sales forecast. His analysis of stock and orders allowed him to implement a strategy that resulted in savings for the company. This also shows that he can work with data. The experience in managing events with more participants and at a bigger scale repeatedly shows the candidate’s ability to plan and communicate. The word “Invented” speaks of creativity.

Example 2: Demonstrate analytical skills in your resume summary

Example taken from our Software Engineer resume guide

We can see that the candidate has a major achievement. More importantly, the achievement is for an “optimized” network. Any optimization is a result of analytical skills. Especially useful are achievements confirmed by a third-party organization.

Example 3: Use your achievements to make the point

Example taken from our Resumes of Chernobyl article

This is what counts. We can see that Mr. Legasov “Led the investigation” of the Chernobyl disaster, which is to show that he conducted research and collected data. Then he analyzed the data and using creative and critical thinking he came up with conclusions and solutions. “Pointed to the problems” is the most incredible part of his achievements. Although the party and the whole political situation did not allow for honesty and the spread of information, he put his will and communication skills and work and informed the world about the dangers of RBMK-1000 reactors.

Top related skills to strong analytical skills:

  • Public Speaking
  • Demonstrate, do not claim: Lead the HR officer through your achievements and results.
  • Make them believe in you: List any awards and recognition.
  • Be wise with words: Sort and clear sentences. Action and power verbs. Only the essence. You will explain the details later at the interview.

And what happened to those pilots and their planes? An analyst at the RAF concluded that they need to reinforce the parts of the plane where there are no bullet holes. The reason for this was that although hit many times, the planes they studied returned after all. The rest hit in other places, did not.

About this report:

Data reflects analysis made on over 1M resume profiles and examples over the last 2 years from

While those skills are most commonly met on resumes, you should only use them as inspiration and customize your resume for the given job.

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4 Ways to Improve Your Analytical Skills

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  • 07 Jan 2021

Data is ubiquitous. It’s collected at every purchase made, flight taken, ad clicked, and social media post liked—which means it’s never been more crucial to understand how to analyze it.

“Never before has so much data about so many different things been collected and stored every second of every day,” says Harvard Business School Professor Jan Hammond in the online course Business Analytics .

The volume of data you encounter can be overwhelming and raise several questions: Can I trust the data’s source? Is it structured in a way that makes sense? What story does it tell, and what actions does it prompt?

Data literacy and analytical skills can enable you to answer these questions and not only make sense of raw data, but use it to drive impactful change at your organization.

Here’s a look at what it means to be data literate and four ways to improve your analytical skills.

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What Is Data Literacy?

Data literacy is the ability to analyze, interpret, and question data. A dataset is made up of numerous data points that, when viewed together, tell a story.

Before conducting an analysis, it’s important to ensure your data’s quality and structure is in accordance with your organization’s needs.

“In order to transform data into actionable information, you first need to evaluate its quality,” says Professor Dustin Tingley in the Harvard Online course Data Science Principles . “But evaluating the quality of your data is just the first step. You’ll also need to structure your data. Without structure, it’s nearly impossible to extract any information.”

When you’re able to look at quality data, structure it, and analyze it, trends emerge. The next step is to reflect on your analysis and take action.

Tingley shares several questions to ask yourself once you’ve analyzed your dataset: “Did all the steps I took make sense? If so, how should I respond to my analysis? If not, what should I go back and improve?”

For example, you may track users who click a button to download an e-book from your website.

After ensuring your data’s quality and structuring it in a way that makes sense, you begin your analysis and find that a user’s age is positively correlated with their likelihood to click. What story does this trend tell? What does it say about your users, product offering, and business strategy?

To answer these questions, you need strong analytical skills, which you can develop in several ways.

Related: Business Analytics: What It Is & Why It’s Important

How to Improve Your Analytical Skills

Analysis is an important skill to have in any industry because it enables you to support decisions with data, learn more about your customers, and predict future trends.

Key analytical skills for business include:

  • Visualizing data
  • Determining the relationship between two or more variables
  • Forming and testing hypotheses
  • Performing regressions using statistical programs, such as Microsoft Excel
  • Deriving actionable conclusions from data analysis

If you want to provide meaningful conclusions and data-based recommendations to your team, here are four ways to bolster your analytical skills.

Related: How to Learn Business Analytics Without A Business Background

1. Consider Opposing Viewpoints

While engaging with opposing viewpoints can help you expand your perspective, combat bias, and show your fellow employees their opinions are valued, it can also be a useful way to practice analytical skills.

When analyzing data, it’s crucial to consider all possible interpretations and avoid getting stuck in one way of thinking.

For instance, revisit the example of tracking users who click a button on your site to download an e-book. The data shows that the user’s age is positively correlated with their likelihood to click the button; as age increases, downloads increase, too. At first glance, you may interpret this trend to mean that a user chooses to download the e-book because of their age.

This conclusion, however, doesn’t take into consideration the vast number of variables that change with age. For instance, perhaps the real reason your older users are more likely to download the e-book is their higher level of responsibility at work, higher average income, or higher likelihood of being parents.

This example illustrates the need to consider multiple interpretations of data, and specifically shows the difference between correlation (the trending of two or more variables in the same direction) and causation (when a trend in one variable causes a trend to occur in one or more other variables).

“Data science is built on a foundation of critical thinking,” Tingley says in Data Science Principles . “From the first step of determining the quality of a data source to determining the accuracy of an algorithm, critical thinking is at the heart of every decision data scientists—and those who work with them—make.”

To practice this skill, challenge yourself to question your assumptions and ask others for their opinions. The more you actively engage with different viewpoints, the less likely you are to get stuck in a one-track mindset when analyzing data.

2. Play Games or Brain Teasers

If you’re looking to sharpen your skills on a daily basis, there are many simple, enjoyable ways to do so.

Games, puzzles, and stories that require visualizing relationships between variables, examining situations from multiple angles, and drawing conclusions from known data points can help you build the skills necessary to analyze data.

Some fun ways to practice analytical thinking include:

  • Crossword puzzles
  • Mystery novels
  • Logic puzzles
  • Strategic board games or card games

These options can supplement your analytics coursework and on-the-job experience. Some of them also allow you to spend time with friends or family. Try engaging with one each day to hone your analytical mindset.

Related: 3 Examples of Business Analytics in Action

3. Take an Online Analytics Course

Whether you want to learn the basics, brush up on your skills, or expand your knowledge, taking an analytics course is an effective way to improve. A course can enable you to focus on the content you want to learn, engage with the material presented by a professional in the field, and network and interact with others in the data analytics space.

For a beginner, courses like Harvard Online's Data Science Principles can provide a foundation in the language of data. A more advanced course, like Harvard Online's Data Science for Business , may be a fit if you’re looking to explore specific facets of analytics, such as forecasting and machine learning. If you’re interested in hands-on applications of analytical formulas, a course like HBS Online's Business Analytics could be right for you. The key is to understand what skills you hope to gain, then find a course that best fits your needs.

If you’re balancing a full-time job with your analytics education, an online format may be a good choice . It offers the flexibility to engage with course content whenever and wherever is most convenient for you.

An online course may also present the opportunity to network and build relationships with other professionals devoted to strengthening their analytical skills. A community of like-minded learners can prove to be an invaluable resource as you learn and advance your career.

Related: Is An Online Business Analytics Course Worth It?

4. Engage With Data

Once you have a solid understanding of data science concepts and formulas, the next step is to practice. Like any skill, analytical skills improve the more you use them.

Mock datasets—which you can find online or create yourself—present a low-risk option for putting your skills to the test. Import the data into Microsoft Excel, then explore: make mistakes, try that formula you’re unsure of, and ask big questions of your dataset. By testing out different analyses, you can gain confidence in your knowledge.

Once you’re comfortable, engage with your organization’s data. Because these datasets have inherent meaning to your business's financial health, growth, and strategic direction, analyzing them can produce evidence and insights that support your decisions and drive change at your organization.

A Beginner's Guide to Data and Analytics | Access Your Free E-Book | Download Now

Investing in Your Data Literacy

As data continues to be one of businesses’ most valuable resources, taking the time and effort to build and bolster your analytical skill set is vital.

“Much more data are going to be available; we’re only seeing the beginning now,” Hammond says in a previous article . “If you don’t use the data, you’re going to fall behind. People that have those capabilities—as well as an understanding of business contexts—are going to be the ones that will add the most value and have the greatest impact.”

Are you interested in furthering your data literacy? Download our Beginner’s Guide to Data & Analytics to learn how you can leverage the power of data for professional and organizational success.

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Many job advertisements require “ strong analytical skills ”, but what does this phrase really mean in practice?

Analytical skills are the skills required to gather, assess, and analyse data or information—and then use that information to support better decision-making and problem-solving . They therefore include research skills, data analysis skills (both of quantitative and qualitative data), critical and creative thinking, and finally communication skills.

The good news is that most of us use analytical skills all the time. For example, you need analytical skills to decide what to have for dinner based on an assessment of the contents of your fridge or cupboards, your ability to visit the shops and your budget. However, they are also needed for complex business problems such as handling a merger or acquisition.

What Are Analytical Skills?

Analytical skills are the skills needed to gather information, assess it critically, and then use it to make decisions and/or solve problems.

It is worth unpicking each of these areas in turn, because they are actually quite separate and require different basic skills. You can safely say that you have good analytical skills only once you have mastered all of these areas.

Analytical skills are about much more than numbers

Traditionally, the term analytical skills was used only to refer to skills in analysing numbers and numerical data. However, in most workplaces, the term is used much more widely, to mean being able to review and understand information, and then apply it.

1. Gathering Data and Information: Research

The first area is gathering data and information, often known as research. Somewhat confusingly, research also provides the context that enables you to turn data into information (see box).

Our page on Research Methods points out that most people are likely to encounter research first as part of a project at school or college. However, quality research is important in many jobs—and simply to provide you with the information you need to understand how to make almost any decision.

From Data to Wisdom: The Knowledge Pyramid

The knowledge pyramid is a useful way to visualise the relationships between data, information, knowledge and wisdom.

Knowledge Pyramid. Data to Information to Knowledge to Wisdom.

  • At the bottom of the pyramid lies data , individual facts and figures or measurements, in its raw, uncleaned form.
  • When you add context (for example, by cleaning and organising the data), it becomes information .
  • Adding meaning to information enables you to extend your knowledge , for example, by comparing your information with other work, or discussing it with others.
  • Finally, when you add insights , you may attain wisdom .

In this article, therefore, we use these terms with these very specific meanings. Data is NOT the same as information, and information NOT the same as insight or knowledge.

There are many different types of research, and many different types of data . The method you use, and the type of data that you choose to collect will depend on the questions that you want to answer. For example:

If you want to know broadly how many customers are satisfied with your products, or how highly they would rate them on a scale , you might decide to carry out a survey to obtain some quantitative data (numbers).

However, if you want more detailed data about what customers actually think about your products, and how they use them , you might want to carry out some focus groups or interviews to obtain some qualitative data (opinions).

You can find out more about this in our page on quantitative and qualitative research methods .

You may also be interested in how to carry out market research, and gather competitive intelligence , which is a specific application of research methods to business. Our page on this subject also provides some useful information about sources of information for competitive intelligence. These include both primary sources of information (you collect the data yourself) and secondary sources (someone else has collected the data and made it available for others to use).

2. Assessing and Analysing Information and Data

Once you have gathered your information or data through research, you then need to assess and analyse it to provide yourself with more knowledge.

The first step is to consider the quality of your data. There are several ways that you can do that, such as considering the characteristics of the data, and whether it is supported by evidence from other sources.

There is more about assessing data quality in our page on Turning Information into Action .

Once you are certain that your data quality is good enough, you can then turn to analysis. There are many different forms of this, depending on your type of data. If your data is in the form of numbers, you might start with some simple statistical analysis , or perhaps use more complex statistical techniques such as multivariate analysis . However, if you have qualitative data, you might need to use other methods, such as those set out in our page on Analysing Qualitative Data .

There are also many forms of qualitative analysis used in business to provide insights, such as:

Porter’s Five Forces , which is used to help you visualise your market and your product within it;

SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis, which is used to enable you to understand your company within the context of your situation; and

PESTLE analysis , which allows you to look at the external factors affecting your organisation.

3. Using Information to Support Decision-Making and Problem-Solving

Before you use any information that you gather, or the results of any analysis you have carried out, you need to apply the techniques of critical thinking .

Critical thinking is the ability to apply logic and knowledge to information that is provided.

For example, you might look at the ideas you have gathered, and assess how these link to your other knowledge about the situation. You need to be thinking about the patterns within your data, and what these tell you when set in context. You also need to consider how your thinking might be affected by your previous experience (positive or negative) and your own biases. Critical thinking is also essential for understanding and exploring the root causes of a problem—and therefore developing an effective solution.

Using these approaches will help you to be able to apply information effectively to decision-making.

Another key skill area in problem-solving is creative thinking . This is important because it helps you think more widely and come up with solutions to more complex problems.

To assess your creative thinking skills, you may be interested in our Creative Thinking Skills Self-Assessment .

Finally, it is essential to be able to communicate your findings or solutions to others. Many people underrate the importance of this area, but if you cannot communicate effectively, your ideas will not be accepted or adopted.

Our pages on communication skills provide more information about this crucial area, including effective speaking , and listening skills so that you can understand and respond effectively to objections.

A Final Thought

Analytical skills are an essential part of most jobs—but also how most of us live from day to day.

You may not be conscious of using them, or even of having developed them. However, it is highly likely that you use them all the time. The main issue with using them for work purposes is to assess the processes that you use, and ensure that they are reliable and robust.

Continue to: Creative Thinking Analysing Qualitative Data

See also: Scenario Analysis Personal SWOT Analysis Statistical Analysis: Understanding Correlations

What Are Analytical Skills? [Examples]

By Editorial Team on June 17, 2023 — 10 minutes to read

Analytical skills are cognitive abilities that allow you to process, evaluate, and interpret complex information. These skills allow you to make data-driven decisions and solve problems effectively. In today’s fast-paced and data-driven world, having strong analytical skills is essential to excel in both personal and professional endeavors.

There are several components to analytical skills, such as critical thinking, data and information analysis, problem-solving, and decision-making. These components work in tandem to help you analyze various factors, uncover patterns or trends, and draw logical conclusions based on available data.

Here are some examples of analytical skills:

  • Critical thinking: The ability to objectively evaluate information and form a reasoned judgment.
  • Data analysis: The process of collecting, organizing, interpreting, and presenting data.
  • Problem-solving: The capacity to identify issues, analyze potential solutions, and implement the most effective course of action.
  • Decision-making: The process of choosing the most appropriate option among various alternatives based on relevant information.
  • Research: The skill to gather information on a specific topic, interpret it and draw conclusions.

To showcase your analytical skills in a job application, emphasize instances where you have used these abilities to achieve positive results. Include metrics or specific examples that demonstrate the impact of your actions.

1. Critical thinking: “Analyzed complex data sets and objectively evaluated information to form a reasoned judgment, resulting in a 10% increase in sales revenue.”

2. Data analysis: “Utilized advanced data analysis techniques to collect, organize, interpret, and present data, resulting in a 20% reduction in operating costs.”

3. Problem-solving: “Identified issues in the production process, analyzed potential solutions, and implemented the most effective course of action, resulting in a 15% increase in productivity.”

4. Decision-making: “Made informed decisions by choosing the most appropriate option among various alternatives based on relevant information, resulting in a 25% increase in customer satisfaction.”

5. Research: “Conducted extensive research on market trends and customer preferences, interpreted the data, and drew conclusions that informed the development of new products, resulting in a 30% increase in sales.”

Related: Top Transferable Skills Every Company Wants

Analytical Skills Examples

Research and data analysis.

In your research and data analysis efforts, you can showcase your analytical skills by gathering relevant information, processing it, and drawing conclusions from the findings. For example:

  • Conducting market research to identify trends and patterns
  • Analyzing data to determine effectiveness of an advertising campaign
  • Utilizing statistical software to evaluate data and make predictions

Critical Thinking

Critical thinking involves analyzing information, considering alternative viewpoints, and making informed decisions. Examples of using critical thinking skills include:

  • Evaluating the pros and cons before making a decision
  • Recognizing potential pitfalls or inconsistencies in a plan
  • Identifying and questioning assumptions in an argument


Problem-solving requires identifying issues, generating potential solutions, and selecting the most appropriate course of action. Some examples of problem-solving skills in action are:

  • Troubleshooting technical issues by systematically examining components
  • Resolving customer complaints by finding mutually beneficial solutions
  • Implementing new processes to increase efficiency and reduce errors


Effective communication is a vital analytical skill, as it enables you to convey your findings and ideas to others. Through clear and concise presentations, you can demonstrate your ability to:

  • Summarize complex data in easy-to-understand formats
  • Explain your thought process while reaching a decision
  • Collaborate with team members to formulate plans and solve problems

Analytical Skills Examples for Different Industries

Analytical skills in marketing: resume paragraph example.

“I possess strong analytical skills that allow me to understand consumer behavior and trends. I have experience utilizing statistical analysis to identify patterns in customer preferences and target campaigns effectively. This knowledge has allowed me to segment audiences, set priorities, and optimize marketing strategies, resulting in increased ROI and customer engagement.”

Analytical Skills in Finance: Resume Paragraph Example

“With my financial analytical skills, I am able to manage budgets, analyze balance sheets, and forecast revenue growth. I have experience utilizing financial models to assess investment opportunities, evaluate profitability, and perform risk assessments. This skill set has enabled me to make informed decisions that impact my organization’s financial health, resulting in increased profitability and stability.”

Analytical Skills in Sales: Resume Paragraph Example

“My analytical skills allow me to interpret sales data, identify trends, and forecast future demand. I have experience planning targeted sales strategies, allocating resources efficiently, and increasing overall productivity in the industry, resulting in increased sales revenue.”

Analytical Skills in Website Management: Resume Paragraph Example

“I possess strong analytical skills that allow me to analyze user behavior and site performance to optimize the user experience. I have experience tracking website metrics and probabilities to identify areas for improvement, drive more traffic, and engage users more effectively.”

Analytical Skills in Science and Research: Resume Paragraph Example

“I possess essential analytical skills for designing experiments, interpreting data, and drawing informed conclusions. I have experience critically analyzing research findings and challenging existing models to drive innovation and advancements in my field.”

Demonstrating Analytical Skills

To showcase your analytical skills in your resume, include them in the Skills section as bullet points. Be specific, mentioning the particular analytical abilities you excel in. For instance:

  • Data analysis
  • Critical thinking
  • Problem-solving

Next, incorporate your analytical skills within your Work Experience section. Use action verbs and quantify your accomplishments wherever possible. Here’s an example:

  • “Analyzed market trends to increase sales by 20% in Q3”

Cover Letter

Your cover letter offers an opportunity to provide context and examples of how you’ve utilized your analytical skills in the past. Choose a specific experience or project to discuss, and demonstrate how your skills contributed to its success. For example:

“In my previous role as a Market Analyst at X Company, I employed my data analysis skills to identify business growth opportunities. I assessed customer feedback and sales data, allowing us to better target our marketing efforts and resulting in a 15% increase in customer satisfaction.”

Job Interview

During the job interview, be prepared to provide concrete examples of how you’ve applied your analytical skills. Use the STAR (Situation, Task, Action, Result) method to describe a particular scenario in which you demonstrated your abilities:

  • Situation : Explain the context or challenge you faced
  • Task : Describe the goal you were trying to achieve
  • Action : Express the specific steps you took, emphasizing your analytical skills
  • Result : Share the positive outcome achieved

For example:

“In my last position as a Financial Analyst, I was tasked with identifying cost-saving measures for our department. I meticulously reviewed budget reports and discovered discrepancies in vendor billing. By negotiating new contracts, we managed to save the company $50,000 annually.”

Developing and Enhancing Analytical Skills

Improving critical and analytical thinking.

To improve your critical and analytical thinking skills, start by questioning assumptions and evaluating the source of information. Expand your knowledge base by reading diverse materials and participating in discussions with individuals who have different perspectives. Utilize activities such as puzzles, brainteasers, and strategy games to challenge your brain further. Also, think critically about your own beliefs and decisions to foster self-awareness, humility, and open-mindedness.

Problem-Solving Techniques

Effective problem-solving techniques include breaking down complex issues into smaller, more manageable components and analyzing each independently. This approach allows you to systematically address challenges step-by-step. Additionally, brainstorm various potential solutions, considering both conventional and unconventional ideas. After identifying possible options, evaluate the pros and cons of each, and select the most viable ones to implement.

Related: Top Problem-Solving Skills for Today’s Job Market

The Role of Soft and Hard Skills

As you develop your analytical skills, it’s important to understand the roles of both soft and hard skills. Soft skills pertain to your interpersonal, communication, and collaborative abilities, which contribute to your overall effectiveness in the workplace. On the other hand, hard skills or technical skills refer to the specific capabilities you possess, such as programming, data analysis, or expertise in a particular software.

A well-rounded professional should have a combination of both soft and hard skills. To effectively analyze data, interpret findings, and solve complex problems, you need not only the technical expertise but also the communication and relationship-building skills to work with others.

In the context of analytical skills, examples of soft skills include critical thinking, problem-solving, and adaptability. These abilities allow you to see beyond the numbers, identify patterns, and anticipate how changes in one area may affect another. Additionally, communication and collaboration skills are key for working in a team setting, understanding different perspectives, and finding the best solution. Related: What Are Soft Skills? (and How to Showcase Them)

Examples of hard skills related to analytical skills include data processing, statistical analysis, and experience with analytical tools like Excel or SQL. These technical abilities enable you to gather, process, and analyze data more efficiently and accurately, helping you produce valuable insights for your team and organization. Related: Technical Skills Examples for Resume and List of 21 Important Technical Skills (with Examples)

To showcase your analytical skills in a job application, consider mentioning specific instances where you applied your analytical abilities, such as solving a complex issue or improving a process through data-driven insights. Provide examples that demonstrate your proficiency in relevant technical tools or software.

The Importance of Analytical Skills in the Workplace

As an employee, your ability to process and interpret information allows you to make well-informed decisions, spot trends, and tackle complex problems.

One of the key aspects of analytical skills is decision-making . In any job, your ability to make sound decisions in a timely manner will contribute to your success. By breaking down complex information and identifying patterns, you can draw from a rich pool of knowledge and make confident choices that benefit both your team and your organization.

As you hone your analytical skills, you’ll understand more effectively how to process the deluge of information present in today’s work environment. Whether you’re dealing with data, reports, or research, your ability to extract meaningful insights will allow you to add value to projects and deliver results that have a tangible impact.

Related: Effective Decision Making Process: 7 Steps with Examples

Frequently Asked Questions

What are some common examples of analytical skills.

Some common examples of analytical skills include: problem-solving, critical thinking, data analysis, decision-making, systems thinking, research, attention to detail, and forecasting. These skills allow you to effectively gather, interpret, and apply information to understand complex situations and make well-informed decisions.

How do you demonstrate analytical skills in a job interview?

During a job interview, you can demonstrate your analytical skills by:

  • Sharing specific examples of how you used analytical skills to solve a problem or make a decision in your past work experiences.
  • Highlighting projects or tasks where you had to analyze data, identify patterns, and derive conclusions.
  • Discussing tools and techniques you have used for data analysis, such as spreadsheets, statistical software, or analytical frameworks.
  • Explaining your thought process in real-time when answering situational or problem-solving interview questions.

What are the key differences between analytical skills and critical thinking?

Analytical skills involve techniques for gathering, organizing, interpreting, and drawing conclusions from data and information, while critical thinking is a broader skill that includes the ability to question assumptions, evaluate arguments, and make informed judgments based on evidence and sound reasoning.

How do analytical skills benefit workplace performance?

Analytical skills can improve workplace performance by:

  • Enhancing decision-making processes, leading to more informed and effective choices.
  • Identifying patterns and trends in data that can inform future planning or strategies.
  • Improving troubleshooting and problem-solving abilities, helping to resolve issues more efficiently.
  • Increasing innovation and creativity by encouraging systematic exploration of ideas and synthesis of new insights.

Which professions require strong analytical skills?

Professions that often require strong analytical skills include: data analysts, finance professionals, business analysts, marketers, economists, scientists, engineers, healthcare professionals, and project managers. However, analytical skills can be valuable assets in virtually any industry and role, as they are crucial for problem-solving and effective decision-making.

What are some effective ways to develop and enhance analytical skills?

To develop and enhance your analytical skills, consider the following:

  • Engaging in activities that require data analysis, such as working on projects, participating in clubs or organizations, or volunteering in relevant fields.
  • Taking courses or attending workshops on subjects like statistics, logic, data visualization, and related topics.
  • Practicing problem-solving techniques, such as breaking down complex issues into smaller components or using models and frameworks to guide your thinking.
  • Seeking feedback on your work and learning from experience, as well as observing and learning from professionals with strong analytical skills.
  • Top Problem Solving Skills for Today's Job Market
  • 37 Analytical Skills Self Evaluation Comments Examples
  • Self Evaluation Examples [Complete Guide]

Analytical Mindset

What is analytical mindset.

An analytical mindset refers to the ability to approach problems and situations with a logical and systematic perspective. Individuals with an analytical mindset possess strong critical thinking skills, enabling them to gather, analyze, and interpret information effectively. This skillset allows them to make well-informed decisions and solve complex problems efficiently.

The core characteristic of an analytical mindset is the inclination to break down complex issues into smaller, manageable components. Analytical individuals excel at identifying patterns, connections, and causal relationships in data or information. They possess excellent quantitative and qualitative analysis skills, allowing them to extract meaningful insights from vast amounts of information.

People with an analytical mindset exhibit strong attention to detail and possess solid research skills. They are adept at collecting relevant data, conducting thorough analyses, and drawing conclusions based on the information presented. This skillset is invaluable in various fields, including finance, data analysis, market research, and strategic planning.

Additionally, those with an analytical mindset demonstrate excellent problem-solving abilities. They are able to think critically and objectively, considering multiple perspectives and potential outcomes before arriving at a solution. Their logical and systematic approach enables them to identify root causes and propose effective strategies for resolution.

To summarize, an analytical mindset involves the ability to approach problems systematically, analyze information effectively, and make data-driven decisions. It encompasses strong critical thinking skills, attention to detail, and the ability to solve complex problems efficiently. Developing and nurturing an analytical mindset can greatly enhance an individual's overall problem-solving abilities, making it an invaluable skill in today's data-driven world.

Why Assess a Candidate's Analytical Mindset Skill Level?

Assessing a candidate's Analytical Mindset skill level during the hiring process is crucial for several reasons.

1. Identifying Problem-Solving Abilities: The ability to think critically and approach problems with an analytical mindset is essential in today's complex and data-driven work environment. Assessing a candidate's Analytical Mindset skill level allows you to evaluate their problem-solving abilities, ensuring they have the aptitude to tackle challenges and make informed decisions.

2. Work Efficiency and Decision-Making: Candidates with a strong Analytical Mindset can analyze information effectively, leading to more efficient work processes. By assessing this skill, you can determine if candidates possess the ability to gather and interpret data accurately, enabling them to make well-informed decisions that drive business success.

3. Attention to Detail and Accuracy: Individuals with an analytical mindset demonstrate a keen attention to detail, ensuring accuracy in their work. Assessing a candidate's Analytical Mindset skill level helps you evaluate their ability to notice patterns, identify errors, and pay attention to critical details, reducing the risk of mistakes in tasks that require precision.

4. Adaptability and Change Management: Analytical individuals are often adept at recognizing patterns and trends, allowing them to adapt to new situations and implement effective change management strategies. Assessing candidates' Analytical Mindset skill level provides insights into their adaptability, agility, and ability to work in dynamic environments.

5. Driving Analytical Thinking Culture: By assessing candidates' Analytical Mindset skill level, you can reinforce the importance of analytical thinking within your organization. Hiring individuals with strong analytical skills can contribute to fostering a culture that values data-driven decision-making, enhances problem-solving capabilities, and drives innovation.

In summary, assessing a candidate's Analytical Mindset skill level is vital to ensure they possess the critical thinking abilities necessary for success in today's workforce. It allows you to identify candidates with strong problem-solving skills, attention to detail, adaptability, and the ability to make data-driven decisions. By evaluating and selecting individuals with a high level of Analytical Mindset, you can build a strong and efficient team that drives organizational growth and success.

How to Assess a Candidate's Analytical Mindset Skill Level

Assessing a candidate's Analytical Mindset skill level is made seamless and effective with Alooba's comprehensive assessment platform. Our platform provides a range of assessment tools and features specifically designed to evaluate a candidate's analytical thinking abilities. Here's how you can assess a candidate's Analytical Mindset skill level using Alooba:

1. Conceptual and Knowledge Assessments: Utilize Alooba's customizable, autograded multi-choice tests to evaluate candidates' conceptual understanding and knowledge related to analytical thinking. Assess their ability to apply analytical principles and concepts to real-world scenarios.

2. Data Analysis Assessments: Alooba's innovative data analysis tests allow candidates to analyze given datasets using their own tools and provide their insights and answers. This assessment provides a practical approach to evaluating candidates' data interpretation and analytical skills.

3. SQL Assessments: Evaluate candidates' proficiency in querying, inserting, or updating data using SQL statements. Alooba's autograded SQL assessments assess candidates' ability to manipulate and extract data using structured query language, a crucial skill for analytical thinking.

4. Analytics Coding Assessments: Leverage Alooba's coding assessments in Python or R to assess candidates' ability to analyze and manipulate data programmatically. These autograded assessments evaluate candidates' analytical thinking abilities through coding exercises specifically tailored to data-related problem-solving.

5. In-Depth Assessments and Written Responses: To gain deeper insights into a candidate's Analytical Mindset, Alooba offers subjective, manual evaluation assessments. Candidates can provide written responses or essays related to analytical thinking, allowing you to evaluate their critical thinking, reasoning, and analytical writing skills.

6. Asynchronous Interviews: Alooba's video response assessments enable candidates to showcase their analytical thinking skills by answering questions through recorded video submissions. This assessment method provides a comprehensive evaluation of candidates' soft skills, including their ability to present and communicate analytical insights effectively.

With Alooba's end-to-end candidate evaluation platform, you can seamlessly assess and measure a candidate's Analytical Mindset skill level. Our comprehensive range of assessment types, including conceptual, data analysis, SQL, coding, and subjective evaluations, ensures you gain a holistic understanding of each candidate's analytical abilities. Maximize your hiring decisions by selecting candidates with the Analytical Mindset required to drive success in your organization.

Ready to assess candidates' Analytical Mindset skill level with Alooba? Sign up today and unlock the power of data-driven decision-making in your hiring process.

Topics Included in the Analytical Mindset Skill

The Analytical Mindset skill encompasses various subtopics that are essential for individuals to develop a strong analytical thinking ability. Here are some key topics included within the Analytical Mindset skill:

1. Data Analysis: Understanding how to gather, interpret, and analyze data is crucial for developing an analytical mindset. This topic covers techniques such as data cleaning, data visualization, statistical analysis, and data-driven decision-making.

2. Critical Thinking: Critical thinking is at the core of the Analytical Mindset. It involves the ability to objectively analyze information, evaluate arguments, identify logical fallacies, and leverage evidence to make informed decisions.

3. Problem-Solving Techniques: The Analytical Mindset skill involves applying various problem-solving techniques, such as root cause analysis, hypothesis testing, and decision tree analysis. These techniques help individuals break down complex problems into manageable components and evaluate potential solutions.

4. Predictive Modeling: Predictive modeling is a key component of analytical thinking. It involves using statistical and mathematical techniques to build models that can forecast outcomes, identify trends, and make data-driven predictions.

5. Critical Evaluation of Information: Developing an Analytical Mindset requires the ability to critically evaluate the quality and reliability of information. This includes assessing the credibility of sources, detecting bias, and discerning between correlation and causation.

6. Logical Reasoning: Mastering logical reasoning allows individuals to analyze arguments and make deductions based on given information. It involves understanding logical structures, formal and informal fallacies, and making valid and sound conclusions.

7. Data Visualization: The ability to effectively visualize data through charts, graphs, and dashboards is an important aspect of the Analytical Mindset. This skill helps in communicating insights and patterns derived from data in a clear and impactful manner.

8. Analytical Tools and Techniques: Being familiar with analytical tools, such as statistical software, data visualization tools, and programming languages like Python or R, enhances the Analytical Mindset. Knowledge of these tools enables individuals to effectively manipulate and analyze data.

By developing a strong understanding of these topics within the Analytical Mindset skill, individuals can enhance their analytical thinking abilities and excel in roles that require data analysis, problem-solving, and critical decision-making.

Application of Analytical Mindset

The application of an Analytical Mindset is pervasive across various industries and roles, as it provides individuals with the tools and skills necessary to excel in data-driven environments. Here are some key ways in which the Analytical Mindset is utilized:

1. Business Strategy and Decision-Making: Analytical thinking plays a crucial role in developing effective business strategies and making informed decisions. By utilizing data analysis, critical thinking, and problem-solving techniques, professionals can gain valuable insights, identify growth opportunities, and make data-driven decisions that drive organizational success.

2. Market Research and Customer Analysis: Analytical thinking is vital in conducting market research and gaining a deeper understanding of customer behavior. By analyzing data, spotting trends, and interpreting consumer insights, businesses can better comprehend market dynamics and make informed marketing and product development decisions.

3. Financial Analysis and Forecasting: Analytical thinking is extensively utilized in financial analysis and forecasting. By analyzing financial data, identifying trends, and applying predictive modeling techniques, professionals can make accurate financial projections, assess risks, and inform investment decisions.

4. Operations Optimization: Analytical thinking is applied to optimize operational processes and improve efficiency. Analyzing data, identifying bottlenecks, and implementing data-driven solutions enable businesses to streamline operations, enhance productivity, and reduce costs.

5. Risk Assessment and Mitigation: Analytical thinking is crucial in assessing and mitigating risks. By analyzing data, identifying potential risks, and evaluating their impact, professionals can develop risk management strategies, make informed decisions, and minimize potential negative outcomes.

6. Marketing and Campaign Analysis: Analytical thinking is employed to analyze marketing campaigns, measure their effectiveness, and optimize marketing efforts. By examining data on customer engagement, conversion rates, and return on investment, marketers can fine-tune their strategies, target specific segments, and maximize marketing ROI.

7. Data-driven Innovation: The Analytical Mindset fuels data-driven innovation by enabling professionals to uncover novel insights, identify patterns, and develop innovative solutions. By leveraging analytical thinking, organizations can discover new opportunities, enhance existing products or services, and stay ahead of the competition.

The application of an Analytical Mindset extends across various industries, from finance and marketing to healthcare and technology. By developing and harnessing the power of an Analytical Mindset, professionals can drive data-driven decision-making, optimize processes, mitigate risks, and foster innovation, ultimately leading to organizational growth and success.

Roles Requiring Good Analytical Mindset Skills

Several roles require candidates to possess strong Analytical Mindset skills to excel in their responsibilities. These roles rely on analytical thinking, problem-solving, and data-driven decision-making. Here are some of the key roles that necessitate good Analytical Mindset skills:

Data Analyst : Data analysts are responsible for examining complex datasets, applying data analysis techniques, and extracting meaningful insights. They require strong analytical thinking skills to evaluate data, identify trends, and present findings to stakeholders.

Data Scientist : Data scientists utilize advanced analytical techniques and statistical modeling to derive insights from data. They need excellent analytical skills to clean and analyze large datasets, develop predictive models, and make data-driven recommendations.

Data Engineer : Data engineers design and build data systems and solutions, requiring proficiency in analytical thinking to understand data structures, optimize data pipelines, and ensure data quality.

Insights Analyst : Insights analysts analyze consumer behavior, market trends, and performance metrics to provide actionable insights to inform decision-making. Strong analytical skills are essential to interpret data, identify patterns, and communicate findings effectively.

Marketing Analyst : Marketing analysts leverage data to evaluate marketing campaigns, customer behavior, and market trends. Analytical thinking helps them uncover valuable insights, optimize marketing strategies, and measure the effectiveness of campaigns.

Product Analyst : Product analysts analyze user data, conduct market research, and identify user needs to inform product development and improve user experiences. Analytical skills enable them to make data-driven product decisions and identify opportunities for innovation.

Data Architect : Data architects design and manage data structures, data systems, and databases. Analytical thinking is crucial to understand data requirements, design effective data models, and ensure data integrity and security.

Back-End Engineer : Back-end engineers develop and maintain the server-side of web applications, requiring analytical skills to optimize database queries, handle data processing, and ensure efficient data transfer between front-end and back-end systems.

Data Quality Analyst : Data quality analysts assess and improve data accuracy and integrity within an organization. Analytical skills are necessary to identify data quality issues, develop data quality metrics, and implement data cleansing processes.

Data Strategy Analyst : Data strategy analysts develop data-driven strategies, provide insights, and shape data governance practices within an organization. Analytical thinking allows them to align data initiatives with business goals and identify opportunities for data-driven growth.

Data Warehouse Engineer : Data warehouse engineers design, develop, and maintain data warehouses, enabling organizations to store and analyze large volumes of data. Analytical skills are essential to optimize data retrieval, ensure data quality, and enable efficient data analysis.

Master Data Analyst : Master data analysts manage organizational master data, ensuring accuracy and consistency. Strong analytical skills allow them to analyze data quality, identify data discrepancies, and implement data governance strategies.

Proficiency in analytical thinking is vital for individuals in these roles to effectively analyze complex data, make informed decisions, and contribute to the success of their organizations.

Associated Roles

Back-end engineer.

Back-End Engineers focus on server-side web application logic and integration. They write clean, scalable, and testable code to connect the web application with the underlying services and databases. These professionals work in a variety of environments, including cloud platforms like AWS and Azure, and are proficient in programming languages such as Java, C#, and NodeJS. Their expertise extends to database management, API development, and implementing security and data protection solutions. Collaboration with front-end developers and other team members is key to creating cohesive and efficient applications.

Data Analyst

Data Analysts draw meaningful insights from complex datasets with the goal of making better decisions. Data Analysts work wherever an organization has data - these days that could be in any function, such as product, sales, marketing, HR, operations, and more.

Data Architect

Data Architects are responsible for designing, creating, deploying, and managing an organization's data architecture. They define how data is stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data. Data Architects ensure data solutions are built for performance and design analytics applications for various platforms. Their role is pivotal in aligning data management and digital transformation initiatives with business objectives.

Data Engineer

Data Engineers are responsible for moving data from A to B, ensuring data is always quickly accessible, correct and in the hands of those who need it. Data Engineers are the data pipeline builders and maintainers.

Data Quality Analyst

Data Quality Analysts play a crucial role in maintaining the integrity of data within an organization. They are responsible for identifying, correcting, and preventing inaccuracies in data sets. This role involves using analytical tools and methodologies to monitor and maintain the quality of data. Data Quality Analysts collaborate with other teams to ensure that data is accurate, reliable, and suitable for business decision-making. They typically use SQL for data manipulation, employ data quality tools, and leverage BI tools like Tableau or PowerBI for reporting and visualization.

Data Scientist

Data Scientists are experts in statistical analysis and use their skills to interpret and extract meaning from data. They operate across various domains, including finance, healthcare, and technology, developing models to predict future trends, identify patterns, and provide actionable insights. Data Scientists typically have proficiency in programming languages like Python or R and are skilled in using machine learning techniques, statistical modeling, and data visualization tools such as Tableau or PowerBI.

Data Strategy Analyst

Data Strategy Analysts specialize in interpreting complex datasets to inform business strategy and initiatives. They work across various departments, including product management, sales, and marketing, to drive data-driven decisions. These analysts are proficient in tools like SQL, Python, and BI platforms. Their expertise includes market research, trend analysis, and financial modeling, ensuring that data insights align with organizational goals and market opportunities.

Data Warehouse Engineer

Data Warehouse Engineers specialize in designing, developing, and maintaining data warehouse systems that allow for the efficient integration, storage, and retrieval of large volumes of data. They ensure data accuracy, reliability, and accessibility for business intelligence and data analytics purposes. Their role often involves working with various database technologies, ETL tools, and data modeling techniques. They collaborate with data analysts, IT teams, and business stakeholders to understand data needs and deliver scalable data solutions.

Insights Analyst

Insights Analysts play a pivotal role in transforming complex data sets into actionable insights, driving business growth and efficiency. They specialize in analyzing customer behavior, market trends, and operational data, utilizing advanced tools such as SQL, Python, and BI platforms like Tableau and Power BI. Their expertise aids in decision-making across multiple channels, ensuring data-driven strategies align with business objectives.

Marketing Analyst

Marketing Analysts specialize in interpreting data to enhance marketing efforts. They analyze market trends, consumer behavior, and campaign performance to inform marketing strategies. Proficient in data analysis tools and techniques, they bridge the gap between data and marketing decision-making. Their role is crucial in tailoring marketing efforts to target audiences effectively and efficiently.

Master Data Analyst

Master Data Analysts play a critical role in managing and maintaining the integrity of master data within an organization. They are responsible for ensuring that key data across business units, such as product, customer, and vendor information, is accurate, consistent, and up-to-date. Their expertise in data governance, data quality management, and data analysis is essential in supporting operational efficiency, compliance, and strategic initiatives. Master Data Analysts typically work with ERP systems like SAP or Oracle and are adept at collaborating with various departments to align data standards and policies.

Product Analyst

Product Analysts utilize data to optimize product strategies and enhance user experiences. They work closely with product teams, leveraging skills in SQL, data visualization (e.g., Tableau), and data analysis to drive product development. Their role includes translating business requirements into technical specifications, conducting A/B testing, and presenting data-driven insights to inform product decisions. Product Analysts are key in understanding customer needs and driving product innovation.

Related Skills

Other names for Analytical Mindset include Data-Driven , and Analytical Thinking .

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Best Problem-Solving Skills for a Resume. How to List Them

When it comes to landing your dream job, problem-solving skills are highly valued by employers across a variety of industries. These skills demonstrate your ability to think critically, analyze situations, and develop effective solutions to complex problems. Including your problem-solving skills on your resume can help you stand out to potential employers and showcase your ability to handle challenges in the workplace.

In this article, we’ll explore some of the best problem-solving skills to include on your resume and provide tips on how to list them effectively to increase your chances of landing your desired job.

Best Problem-Solving Skills for a Resume. How to List Them

Table of Contents

What Are Problem-Solving Skills?

Problem-solving skills refer to the ability to analyze situations, identify problems, and develop effective solutions to complex issues. It involves critical thinking, creativity, and the ability to make informed decisions based on available information.

Effective problem-solving skills are essential for success in any career. According to a survey by the National Association of Colleges and Employers , problem-solving skills are ranked among the top three most important skills that employers look for in job candidates.

Furthermore, a study by the World Economic Forum found that problem-solving, critical thinking, and creativity are projected to be the top three skills required for the workforce by 2025.

Top 10 Skills for 2023

Source: World Economic Forum

Top 10 Problem Solving Skills for Your Resume + Examples

Here are the top 10 problem-solving skills to include on a resume:

2. Critical thinking

The ability to objectively analyze information to make informed decisions and solve complex problems.

“Applied critical thinking skills to analyze complex business problems and develop effective solutions.”
“Evaluated financial data to identify inefficiencies and developed cost-saving measures that reduced expenses by 15%.”
“Conducted in-depth research to identify market trends and forecasted future demand for products, resulting in a 10% increase in sales revenue.”
“Developed and implemented risk management strategies to minimize potential losses and ensure business continuity.”
“Used critical thinking skills to develop innovative ideas and streamline processes, resulting in improved efficiency and productivity.”

3. Creativity

The ability to think outside the box and develop innovative solutions to problems.

“Developed creative solutions to complex business problems by thinking outside the box and leveraging my creative problem-solving skills.”
“Designed and implemented a new product packaging concept that led to a 25% increase in sales within the first six months.”
“Developed and executed a social media marketing campaign that went viral and resulted in a 50% increase in brand awareness.”
“Developed an innovative employee incentive program that resulted in a 30% reduction in employee turnover rates.”
“Continuously generated new ideas and innovative solutions to streamline processes and improve efficiency across multiple departments.”

4. Decision-making

The ability to make informed decisions based on available information and data.

“Exercised strong decision-making skills to evaluate complex information and make informed decisions.”
“Analyzed data from multiple sources to identify trends, opportunities and potential risks.”
“Developed and implemented effective risk management strategies to minimize potential losses and ensure business continuity.”
“Successfully negotiated contracts with vendors to achieve cost savings of 20%.”
“Made strategic decisions that resulted in a 15% increase in sales revenue within the first year of employment.”
“Continuously evaluated the effectiveness of decisions and made necessary adjustments to improve outcomes.”

5. Strategic thinking and ideation

The ability to think long-term and develop plans to achieve goals and overcome challenges.

“Applied strong strategic thinking skills to develop and implement long-term business plans that aligned with organizational goals.”
“Analyzed market trends and customer behavior to identify new opportunities and create competitive advantages.”
“Developed and executed a product development strategy that resulted in a 30% increase in market share within the first year.”
“Led cross-functional teams to implement new processes and systems that improved efficiency and reduced costs by 25%.”
“Continuously evaluated the competitive landscape and adjusted strategies to stay ahead of industry trends.”

6. Problem identification

The ability to identify potential problems before they arise and take preventive measures to address them.

“Used strong problem identification skills to identify and diagnose complex business issues.”
“Conducted root cause analysis to identify underlying problems and develop effective solutions.”
“Developed and implemented a new quality control system that reduced product defects by 20%.”
“Conducted internal audits to identify process inefficiencies and implemented process improvements that resulted in a 30% reduction in lead time.”
“Continuously monitored business operations to identify potential issues and proactively developed contingency plans to mitigate risks.”

7. Adaptability

The ability to quickly adjust and change course when faced with unexpected challenges.

“Applied strong adaptability skills to thrive in fast-paced and dynamic work environments.”
“Demonstrated the ability to quickly learn new processes and procedures and adapt to changing priorities.”
“Successfully managed multiple projects simultaneously, adjusting project plans as needed to meet changing requirements.”
“Collaborated with cross-functional teams to develop new products and services that met evolving customer needs.”
“Successfully navigated a company-wide restructuring by taking on new responsibilities and adapting to a new organizational structure.”
“Proactively sought out feedback from managers and colleagues to continuously improve performance and adapt to changing expectations.”

8. Communication

The ability to effectively communicate with colleagues, stakeholders and customers to understand their needs and develop solutions.

“Used strong communication skills to effectively collaborate with cross-functional teams and solve complex problems.”
“Facilitated open and transparent communication among team members to ensure everyone was aligned and working towards a common goal.”
“Successfully led cross-functional projects by effectively communicating project plans, goals, and timelines to all stakeholders.”
“Developed and delivered engaging presentations to communicate complex data and project results to senior leadership.”
“Collaborated with customers to understand their needs and effectively communicated those needs to the product development team, resulting in a 15% increase in customer satisfaction ratings.”

9. Collaboration

The ability to work effectively in a team and collaborate with others to achieve common goals.

“Collaborated effectively with cross-functional teams to achieve project goals and solve complex problems.”
“Demonstrated strong interpersonal skills by building positive relationships with team members and stakeholders.”
“Proactively identified and resolved conflicts to ensure smooth collaboration and successful project outcomes.”
“Actively participated in team meetings and contributed to brainstorming and ideation sessions to generate creative solutions.”
“Successfully led cross-functional teams by delegating tasks and responsibilities and ensuring alignment among team members.”
“Developed and implemented new team-building activities that increased team morale and improved collaboration.”

10. Time management

The ability to prioritize tasks, manage deadlines and work efficiently to achieve objectives.

“Managed multiple projects simultaneously, consistently meeting project deadlines and ensuring high-quality deliverables.”
“Developed and implemented effective time management strategies, including prioritization and task delegation, to increase productivity and efficiency.”
“Proactively identified potential roadblocks and adjusted project plans as needed to stay on track.”
“Utilized project management software to track progress and communicate project status to stakeholders.”
“Successfully managed a team of interns, delegating tasks and providing guidance to ensure timely and accurate completion of projects.”
“Received recognition from management for consistently delivering projects ahead of schedule and under budget.”

Including these problem-solving skills on your resume can demonstrate to potential employers that you are a strategic thinker, a creative problem solver, and a valuable asset to any team.

Jobs That Require Problem-Solving Skills

There are many jobs that require problem-solving skills. Here are some examples:

Engineers: Engineers are responsible for designing, building, and testing products, systems, and structures. They often encounter complex problems that require creative problem-solving skills to solve.

IT professionals: IT professionals are responsible for managing and troubleshooting computer systems and networks. They must be able to identify and solve technical issues quickly and effectively.

Healthcare professionals: Healthcare professionals, such as doctors and nurses, must use critical thinking and problem-solving skills to diagnose and treat patients.

Lawyers: Lawyers must analyze complex legal issues and develop creative solutions to help their clients achieve their goals.

Business professionals: Business professionals, such as managers and executives, must be able to analyze data, identify problems, and develop strategies to solve them.

Educators: Educators must be able to identify and address the individual needs of their students and develop creative solutions to help them succeed.

Scientists: Scientists must use critical thinking and problem-solving skills to design experiments, analyze data, and develop new theories and technologies.

Entrepreneurs: Entrepreneurs must be able to identify opportunities and solve problems in order to start and grow successful businesses.

Overall, problem-solving skills are essential in a wide range of professions and industries, and are highly valued by employers.

Problem-Solving Skills Resume Example

Here is an example of a resume that demonstrates your ability to resolve difficult situations.

Name: John Doe Contact Information: Email: [email protected] Phone: (123) 456-7890 LinkedIn: Summary: Highly analytical and creative problem-solver with a strong track record of developing and implementing effective solutions. Skilled in collaborating with cross-functional teams and adapting to changing environments. Skills: – Problem identification and analysis – Creative thinking and innovation – Strategic planning and execution – Collaboration and teamwork – Strong communication skills – Time management and prioritization Experience : ABC Company Position: Project Manager Duration: Jan 2019 – Present Responsibilities: – Led cross-functional teams in the development and execution of strategic initiatives – Identified and analyzed potential project risks, and developed contingency plans to mitigate them – Streamlined project management processes, resulting in a 20% increase in efficiency – Developed innovative solutions to complex problems, resulting in a 15% increase in customer satisfaction – Collaborated with stakeholders to develop and implement new product features, resulting in a 10% increase in revenue XYZ Company Position: Business Analyst Duration: Mar 2016 – Dec 2018 Responsibilities: – Conducted data analysis and identified opportunities for process improvement – Developed and executed action plans to address identified issues, resulting in a 25% increase in productivity – Collaborated with cross-functional teams to develop new product features, resulting in a 10% increase in customer retention – Analyzed customer feedback and developed strategies to improve customer experience, resulting in a 20% increase in customer satisfaction Education: Bachelor’s Degree in Business Administration, XYZ University, Graduated in May 2016 Certifications: Project Management Professional (PMP) Six Sigma Green Belt

How Can I Improve My Problem Solving Skills?

To improve your problem-solving skills, start by breaking down complex problems into smaller, more manageable parts. Practice analyzing and identifying the root cause of a problem, brainstorming multiple potential solutions, and evaluating the pros and cons of each option.

Additionally, seek out opportunities to work on collaborative problem-solving projects and seek feedback from others on your approach to dealing with issues. Continuously challenging yourself to solve new problems and refining your problem-solving process can help you improve your skills over time.

Should I Include Hard Skills or Soft Skills as Problem-Solving Skills?

Both hard and soft skills are important for problem-solving . Hard skills such as data analysis and computer programming are critical for identifying and analyzing problems, while soft skills such as communication and collaboration are important for developing and implementing solutions. It’s best to include a mix of both hard and soft skills as problem-solving skills on your resume, to demonstrate your ability to approach problems from different angles and work effectively with others to achieve positive results.

Why Do Employers Value Problem-Solving Skills?

Employers value problem-solving skills because they are critical for driving business success. Individuals who possess strong problem-solving skills can identify and analyze problems, develop and implement effective solutions, and collaborate with others to achieve positive results.

These skills can lead to increased productivity, improved customer satisfaction, and a better overall business performance.

Additionally, problem-solving skills are essential for innovation and growth, allowing companies to adapt to changes in the market and stay ahead of the competition. Employers look for candidates with strong problem-solving skills because they want employees who can contribute to the company’s success and help drive future growth.

What Other Skills Do Employers Look for?

In addition to problem-solving skills, employers also value a range of other skills including communication, teamwork, adaptability, leadership, time management, and technical expertise in specific fields. These skills can help employees work effectively with others, manage projects and resources efficiently, and stay up to date with industry trends and best practices. By highlighting a combination of problem-solving and other key skills on your resume, you can demonstrate your ability to contribute to a company’s success and add value in the workplace.

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Problem Solving, Critical Thinking, and Analytical Reasoning Skills Sought by Employers

In this section:

Problem Solving

  • Critical Thinking

Analytical Reasoning

View the content on this page in a Word document.

Critical thinking, analytical reasoning, and problem-solving skills are required to perform well on tasks expected by employers. 1 Having good problem-solving and critical thinking skills can make a major difference in a person’s career. 2

Every day, from an entry-level employee to the Chairman of the Board, problems need to be resolved. Whether solving a problem for a client (internal or external), supporting those who are solving problems, or discovering new problems to solve, the challenges faced may be simple/complex or easy/difficult.

A fundamental component of every manager's role is solving problems. So, helping students become a confident problem solver is critical to their success; and confidence comes from possessing an efficient and practiced problem-solving process.

Employers want employees with well-founded skills in these areas, so they ask four questions when assessing a job candidate 3 :

  • Evaluation of information: How well does the applicant assess the quality and relevance of information?
  • Analysis and Synthesis of information: How well does the applicant analyze and synthesize data and information?
  • Drawing conclusions: How well does the applicant form a conclusion from their analysis?
  • Acknowledging alternative explanations/viewpoints: How well does the applicant consider other options and acknowledge that their answer is not the only perspective?

When an employer says they want employees who are good at solving complex problems, they are saying they want employees possessing the following skills:

  • Analytical Thinking — A person who can use logic and critical thinking to analyze a situation.
  • Critical Thinking – A person who makes reasoned judgments that are logical and well thought out.
  • Initiative — A person who will step up and take action without being asked. A person who looks for opportunities to make a difference.
  • Creativity — A person who is an original thinker and have the ability to go beyond traditional approaches.
  • Resourcefulness — A person who will adapt to new/difficult situations and devise ways to overcome obstacles.
  • Determination — A person who is persistent and does not give up easily.
  • Results-Oriented — A person whose focus is on getting the problem solved.

Two of the major components of problem-solving skills are critical thinking and analytical reasoning.  These two skills are at the top of skills required of applicants by employers.

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Critical Thinking 4

“Mentions of critical thinking in job postings have doubled since 2009, according to an analysis by career-search site” 5 Making logical and reasoned judgments that are well thought out is at the core of critical thinking. Using critical thinking an individual will not automatically accept information or conclusions drawn from to be factual, valid, true, applicable or correct. “When students are taught how to use critical thinking to tap into their creativity to solve problems, they are more successful than other students when they enter management-training programs in large corporations.” 6

A strong applicant should question and want to make evidence-based decisions. Employers want employees who say things such as: “Is that a fact or just an opinion? Is this conclusion based on data or gut feel?” and “If you had additional data could there be alternative possibilities?” Employers seek employees who possess the skills and abilities to conceptualize, apply, analyze, synthesize, and evaluate information to reach an answer or conclusion.

Employers require critical thinking in employees because it increases the probability of a positive business outcome. Employers want employees whose thinking is intentional, purposeful, reasoned, and goal directed.

Recruiters say they want applicants with problem-solving and critical thinking skills. They “encourage applicants to prepare stories to illustrate their critical-thinking prowess, detailing, for example, the steps a club president took to improve attendance at weekly meetings.” 7

Employers want students to possess analytical reasoning/thinking skills — meaning they want to hire someone who is good at breaking down problems into smaller parts to find solutions. “The adjective, analytical, and the related verb analyze can both be traced back to the Greek verb, analyein — ‘to break up, to loosen.’ If a student is analytical, you are good at taking a problem or task and breaking it down into smaller elements in order to solve the problem or complete the task.” 9

Analytical reasoning connotes a person's general aptitude to arrive at a logical conclusion or solution to given problems. Just as with critical thinking, analytical thinking critically examines the different parts or details of something to fully understand or explain it. Analytical thinking often requires the person to use “cause and effect, similarities and differences, trends, associations between things, inter-relationships between the parts, the sequence of events, ways to solve complex problems, steps within a process, diagraming what is happening.” 10

Analytical reasoning is the ability to look at information and discern patterns within it. “The pattern could be the structure the author of the information uses to structure an argument, or trends in a large data set. By learning methods of recognizing these patterns, individuals can pull more information out of a text or data set than someone who is not using analytical reasoning to identify deeper patterns.” 11

Employers want employees to have the aptitude to apply analytical reasoning to problems faced by the business. For instance, “a quantitative analyst can break down data into patterns to discern information, such as if a decrease in sales is part of a seasonal pattern of ups and downs or part of a greater downward trend that a business should be worried about. By learning to recognize these patterns in both numbers and written arguments, an individual gains insights into the information that someone who simply takes the information at face value will miss.” 12

Managers with excellent analytical reasoning abilities are considered good at, “evaluating problems, analyzing them from more than one angle and finding a solution that works best in the given circumstances”. 13 Businesses want managers who can apply analytical reasoning skills to meet challenges and keep a business functioning smoothly

A person with good analytical reasoning and pattern recognition skills can see trends in a problem much easier than anyone else.


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  2. What Are Analytical Skills? 9 Examples & Tips to Improve

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    Great analytical thinking skills usually cover a spectrum of abilities such as Communication, Creativity, Critical thinking, Data analysis, and Research. To demonstrate what we mean, let's have a quiz. In WW2, the RAF aimed to reinforce their airplanes so that they have a better chance of survival. They knew which parts of the airplane ...

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  7. How to Improve Your Analytical Skills

    4. Engage With Data. Once you have a solid understanding of data science concepts and formulas, the next step is to practice. Like any skill, analytical skills improve the more you use them. Mock datasets—which you can find online or create yourself—present a low-risk option for putting your skills to the test.

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    Analytical Skills: How to Develop Your Analytical Skills. Written by MasterClass. Last updated: Nov 2, 2021 • 4 min read. Hiring managers and job recruiters value strong analytical skills. Develop and showcase your analytical thinking skills to help your application stand out. Hiring managers and job recruiters value strong analytical skills.

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    Many job advertisements require "strong analytical skills", but what does this phrase really mean in practice? Analytical skills are the skills required to gather, assess, and analyse data or information—and then use that information to support better decision-making and problem-solving.They therefore include research skills, data analysis skills (both of quantitative and qualitative ...

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    For example, you can use communication skills to explain a data visualization to team members and help them understand company performance, or to present high-level findings from a data exercise or statistical analysis. Examples of analytical communication skills include: Verbal communication. Storytelling. Chart, graph, and data presentation.

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