Analytical skills: What are they and how to add them to your resumé

Understanding information is one thing, but analysing it? That’s a whole other skill set. That’s where your analytical skills come in – they allow you to draw conclusions from information, so you can make informed decisions.

Analytical thinking plays a big role in our day-to-day lives, allowing us to examine a problem or a data set to find a solution. This ‘solution’ could be insights, trends or ways to overcome a challenge. In the workplace it’s often required for data-specific tasks, but analystical skills are also transferable, so they come in handy in almost all areas of life. 

There are many different types of analytical skills that are useful at work, including critical thinking, problem solving and data interpretation. A retail assistant may have to think outside the box to help a customer, while a project manager would need data analysis skills to report on the potential risks of a job. 

Whatever your role, you’ll learn everything you need to know about different analytical skills and how to make the use of them in this guide. 

What are analytical skills?

Analytical skills involve the ability to gather, interpret and assess information to make informed decisions or solve problems. Using critical thinking, problem solving and analytical skills can help you advise on or make decisions based on what is most likely to provide the best outcome.

Why is having an analytical mindset important?

We make decisions all day everyday – some consciously, and many more subconsciously. Being able to make the right decisions about more complex problems can greatly impact the outcome. Developing better analytical abilities can help you:

• Break down complex problems to get to the bottom of the issue. From there, you can come up with effective solutions
• Make informed decisions, helping save money, time and stress
• Appear and feel confident and in control of situations
• Find creative solutions to difficult challenges
• Increase efficiency and productivity
• Adapt to new situations by being able to adjust strategies as needed

Examples of analytical skills

Let’s take a look at some examples of analytical thinking and the different ways you can use these skills. 

Problem solving

Problem solving is the skill of finding solutions to difficult situations. Using analytical and problem solving skills involves:

• identifying the problem, 
• gathering the relevant information, 
• coming up with potential solutions and 
• assessing their suitability before taking action. 

Being able to solve problems is essential skill in the workplace, especially if you’re interested in management roles. Employees with good problem-solving skills help companies run more efficiently. Here are two examples of problem-solving skills in different careers: 

• You’re a mechanic servicing a car with a strange rattle, but the diagnostic tests aren’t showing anything mechanically wrong. A good problem solver will try to think of other causes for the rattle, such as something loose in the glove compartment.
• In some roles, like human resources manager, problem solving might be a core part of the job. In HR, you’d be resolving conflicts, sourcing hard-to-find talent and helping to streamline your company’s policies. 

Critical thinking

Critical thinking is the process of analysing information, concepts, situations or problems to make judgements. It involves being able to evaluate arguments, claims and evidence in an unbiased way, to come to a solution. 

It’s likely you use critical thinking every day without even knowing it. For example, when you see an article on social media, you’ll use your critical thinking skills to evaluate the credibility of the news source, consider potential biases and verify the information. 

There are certain fields, like law and medicine, where critical thinking is an essential part of the job, in order to provide accurate guidance and diagnoses. But that’s not to say other professions don’t benefit from these skills. Almost every job imaginable requires some level of critical thinking.

Data analysis

Data analysis is the method of examining and interpreting data. It involves a number of techniques, including:

• collecting relevant data (such as from databases, surveys, etc.), 
• cleaning the data (removing errors), 
• exploring patterns and trends, 
• interpreting what this information means and 
• drawing conclusions from the analysis. 

As a data analyst, you may also need to present the data in an easy-to-understand way, using visual communication tools like graphs or charts. 

The specific methods of collecting data and analysing it will depend on the role. Here are two examples of what these skills may look like in different careers:

• A marketing strategist may use platform data collection tools, like Google Analytics and Meta Business Manager, to monitor performance and make informed choices about campaigns. 
• A business analyst may use Excel, Power BI and other data management tools to track performance and gain customer insights. Data analysis skills are useful to anyone who has measurable data they can use to improve outcomes of their work. 

Research skills

Research skills are techniques used to locate, evaluate and use information to find solutions, answer questions or explore specific topics. Not only are they important for students, academics and professionals, they’re an important skill set in your personal life too. 

There are many different types of research: collecting existing data, case studies, surveys, experiments and more. Here are two examples of careers that use research skills:

• Engineers will use controlled experiments to test the properties and performance of materials and structures, while a marketing specialist may conduct consumer research and surveys to evaluate the potential impact advertising campaigns will have for a business. 
• Journalism is a good example of a career using multiple research methods. Journalists will conduct interviews, surveys and polls, use field reporting to gather first-hand evidence, seek out historical evidence and refer to online resources. 

Decision-making

Decision-making is an important analytical skill as it involves a systematic and rational approach to processing information. There are many steps you can take to improve your decision-making process, including analysing data, assessing risks and using critical thinking to make sound judgements without bias. 

Everyone benefits from better decision-making skills. They come into play in every aspect of work, whether that’s deciding what colour to make a banner ad or narrowing down venue options for the next office party. No matter what your role or industry, you’ll be able to make decisions more effectively and confidently when you improve your analytical skills.

How to improve your analytical skills

Like soft skills, analytical skills are something everyone can work on. They can help you make better decisions, communicate why a decision should be made and even help you progress in your career. Taking courses, being observant, reading books – these are all ways you can develop your analytical, problem-solving and critical-thinking skills. 

Resources for improving your analytical skills

From early childhood, our analytical skills are constantly developing. To give them a boost, there are resources you can tap into that target specific analytical skills. These include:

• Online courses to learn data platforms, data analysis and more
• Leadership and communication courses through university and colleges
• Books on analytical thinking or problem solving for your industry
• Online communities and forums to help with specific problems 
• Training in analytics software
• On-the-job training or mentoring
• Podcasts, online research and other digital informational sources

No matter your age, budget or needs, there is always a way to improve your analytical skills.

How to highlight analytical skills on your resumé

Employers are always looking for people with strong analytical skills, especially those with specialised technical skills, like knowledge of data platforms or accounting software. Here are some of the different ways you can add your analytical skills to your resumé to help you stand out. 

Adding analytical skills to the skills section

Analytical skills can be grouped in with the rest of the skills on your resumé. List out all the specific analytical skills you have, naming any relevant software or database platforms. 

Top analytical skills to add to your resumé’s skill section include:

• Specific platforms you have used
• Pattern recognition
• Critical thinking
• Data analysis

Tailor your skills to the job you’re applying for, using the phrases used in the job description, so it’s clear to the hiring manager that you’re a good match for the role.

Incorporating analytical skills in your work experience section

If you have used analytical skills in your past roles, you should add them to the work experience section of your resumé. Use action verbs and add in specific results where possible to demonstrate the impact of your skills. 

Some examples of analytical skills to put in your work experience section include:

• Used Google Analytics to optimise ads and increase conversion by 22% in 12 months
• Deployed employee surveys to improve team retention by 90% YoY under my leadership
• Used Sprinklr dashboard to grow social media engagement by 30% in 90 days
• Used problem-solving skills to achieve a 4.9/5 customer service rating 12 months in a row

By giving specific results of how you used your skills, you demonstrate to hiring managers that you are able to use data to drive performance. 

Showcasing analytical skills in your summary or objective section

You don’t always need to include a summary or objective section on your resumé, but if you have extensive or specialised experience you’d like to highlight, it can be a great way to make yourself stand out. Your summary should only be one or two sentences long, giving the reader an instant overview of who you are, what you’re looking for and what you bring to the table. As with the analytical skills on your resumé, you should customise your objective statement to each role you apply for.

Highlighting your analytical skills in a career objective can give you an edge over other job seekers, particularly if you’re applying for leadership roles. Examples of analytical and problem solving skills selection criteria answers may include:

• Motivated and detail-oriented business and IT graduate with a strong foundation in data analysis, statistics and programming. Seeking entry-level data analyst role to uncover insights and contribute to data-driven decision-making in a dynamic setting. 
• Experienced retail manager of more than 10 years, with a proven track record of developing and implementing data-driven strategies to improve sales by a minimum of 60%. Seeking a challenging role in a forward-thinking organisation where I can leverage my analytical, problem-solving and leadership skills to drive growth and innovation.

When you’re updating your resumé with new skills, it’s important to understand the meaning of analytical skills as they apply to your specific area of work. Keep your resumé up-to-date with these skills, as they’ll differentiate you from the crowd. Even if you’re not looking for a new job and you just want to improve in your current role, enhancing your analytical, problem-solving and decision-making skills could be the secret to standing out and getting ahead.

FAQs

Why are communication skills important in analytical work?

Communication skills are vital in analytical work because they allow for effective data sharing and collaboration. Being able to clearly communicate helps convey findings, insights and recommendations with technical and non-technical stakeholders, ensuring they can make informed decisions. It also helps foster a productive work environment when working with others on analytical projects.

Why are collaboration skills important in analytical work?

Collaboration skills are crucial in analytical work because they enhance problem solving, foster diverse perspectives and improve data interpretation. Effective teamwork helps uncover insights, promotes data accuracy and streamlines decision-making, driving better analytical outcomes.

Why is creativity important in analytical work?

Creativity is vital in analytical work as it helps you find innovative solutions and identify patterns in data. It empowers analysts to generate fresh insights, develop new approaches and adapt to evolving challenges. It enhances the effectiveness and competitiveness of their analytical efforts.

Why is emotional intelligence important in analytical work?

Using emotional intelligence in analytical work fosters empathy, effective communication and collaboration. Analytical people with high emotional intelligence can navigate interpersonal dynamics more easily, build stronger relationships and more clearly understand stakeholder needs, leading to insightful, actionable results. 

Why is continuous learning important in analytical work?

Continuous learning is essential in analytical work to stay updated with evolving tools, techniques and data trends. It allows analysts to adapt, enhance their skills and provide more accurate and valuable insights.