Job Analyst Skills: Definition and Examples for This Career

By Indeed Editorial Team

Published April 25, 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Information analysts design and manage information-gathering systems for businesses, including statistical software, financial analysis programs and voting systems. Analysts use many skills to design these systems, collect important information and deliver information to their customers. Understanding information analyst skills may help you decide if your abilities and training fit this career path.

In this article, we define information analyst skills, provide examples and discuss ways you can highlight them.

What are information analyst skills?

Information analyst skills are abilities that information analysts use when designing data collection systems, collecting important statistical information and presenting this data to their customers. These professionals support clients by providing information that helps them make decisions. For example, an information analyst may collect financial data for companies creating operating budgets. They may create charts, reports and presentations to highlight this data visually.

Typical skills may include programming capabilities, interpersonal abilities, mathematical knowledge, data comprehension and data analysis skill. You may learn some skills by attending college, taking training courses or learning at work.

Related: Learn About Being an Information Security Analyst

Examples of information analyst skills

Skills you may use when working as an information analyst include:

Analysis

Analysis is a skill that helps you understand data for your clients. For example, you may examine complex financial information like debits and credits when helping them prepare budgets. You may track where clients spend money, calculate their spending, predict spending patterns and write a detailed report combining this information. Data collection software may help improve your data collection and analysis and let you track high data volumes and present them meaningfully to your customers.

Problem-solving

Problem-solving skills can help you create complex data analysis solutions. For example, you may create methods to improve a customer's spending patterns. These skills may also assist you create more accurate reports and data collection methods by using analysis platform features for complex case studies.

Writing

Writing skills allow you to create detailed information reports for your customers. You may integrate complex technical explanations in your reports, including discussing your data collection methods. Writing clearly and accurately could help your clients better understand your reports. These skills may also help you present complex information to team members. For example, you may write data-gathering instructions that help them follow your example more clearly.

Technical understanding

This skill includes understanding data-collection software, analytical programs, database programming, operating system management, computer hardware platforms and data-visualization programs. Technological understanding helps you follow standard industry procedures, or lets you create techniques for specific jobs. For example, you may design new data collection options that synchronize more easily with your client's systems. These skills may also help you troubleshoot solutions based on your data.

Data processing

Data processing skills may include data visualization, cleaning methods, processing and management. These techniques include creating detailed charts and graphs, producing animated presentations or creating video reports with multiple visual elements. Data cleaning helps you remove less relevant information from your analysis. Data processing and management skills include understanding information sorting and storage techniques that keep your information easily accessible, such as cloud-based storage options.

Mathematics

Mathematical skills allow you to learn programming languages and analyze data. For example, you may use your math knowledge to understand machine learning concepts. Linear algebra and calculus can also help you grasp statistical information and gauge its importance. For instance, you may use algebra when creating vectors and matrices that present your data to customers. Calculus may help you analyze factors like objectives and cost and how they affect your clients' financial information.

Soft skills

These include personal skills that analysts use to interact with customers and explain complex reports. You may use communication skills to coordinate work with your team and build relationships with clients. Patience can help you gather large data volumes and keep you focused while analyzing this information. You can use critical thinking to examine your data, draw conclusions and find a way to communicate these concepts to clients.

Related: How To Become a Data Analyst: Plus Skills and Salary

How to improve information analyst skills

Here are a few steps you can use to improve your skills:

1. Earn a bachelor's degree in an associated field

Earning a bachelor's degree in statistics or information management may help improve your information analyst skills by immersing you in an advanced learning environment. These courses teach you how to gather data and present it properly. You may also learn advanced mathematical concepts, like algebra and calculus, during these courses. Sign up and complete lab-based courses that immerse you in information gathering to expand your knowledge.

2. Minor in computer programming

Earn a minor in computer programming to learn computer languages for information analysis. Focus on multiple languages and create advanced programs for data collection and analysis. You can use your university's resources to identify useful programming examples and follow their techniques. This may help you better learn these languages, expand your data collection skills and prepare for your career duties.

3. Practice information gathering

Start gathering data in your daily life using self-programmed data analysis software. Collect whatever data interests you. For example, you may compile book sales statistics from various cities and states using your software. Read through this information and analyze what it may mean. You may identify book-buying trends in states and use this information to predict future sales. Practicing these skills can help when transitioning to full-time work.

4. Try part-time or contract gigs

Identify online gig jog forums where you can find part-time or temporary data-collection positions. These gigs may help you better practice data-collection methods before finding a job. You may also analyze this data for your gig or on your own. For example, while some jobs may only require data collection with no analysis, you could analyze this information yourself to further practice your skills. Practicing your skills in this way may also allow you to earn money before finding a full-time job.

5. Write detailed data reports

Practice writing data analysis reports to develop your abilities. Compile data and write detailed analysis reports highlighting this data's key elements. Create these reports for a contract gig or for fun. Ask others to read your report and give you feedback. Ask them if they understood what you were saying in the report. Share these reports with professionals in your field to gain insights into your report accuracy. They can help correct any mistakes and make your future analysis more comprehensive.

Related: 10 Great Certifications for Data Analysts

Information analyst skills in the workplace

Use these techniques to display your information analysis skills in the workplace:

  • Discuss important information with managers: Talk about important financial or statistical information with your managers and share your insights about it. This helps your managers and fellow team members understand your analysis skills more fully.

  • Brainstorm data information: During meetings, collect and present relevant data that may help with the meeting. Brainstorm ideas, financial concepts and budgeting trends based on this data and explain your points in-depth.

  • Talk about this data with fellow team members: Discuss important statistical data with your teammates. Ask for their insights and share yours to give and gain feedback.

  • Decorate your workspace with data charts: Print data charts and hang them around your workspace to show your interest and ability in information analysis. Make sure you print charts based on the information you gathered to further show off your skills.

Related: 12 Data Modeling Tools for Data Analysis

How to highlight information analyst skills

During your job search, you can highlight your job analyst skills to demonstrate your abilities to hiring and human resource managers. Highlighting your skills may help them notice you better when reviewing multiple resumes. Use these techniques on a resume, in a cover letter and during a job interview:

Resume

When writing a resume, add a bulleted list highlighting your job analyst skills. Place this section toward the bottom of your resume, after your job experience and education. Putting it here helps interested employers understand your qualifications and overall abilities after reading your basic qualifications. Include industry-specific skills in this section. For example, if you gathered statistical information for a polling company, include the skills you learned in this position. These skills may include personal communication when gathering information from individuals and graphical skills practiced when creating bar charts detailing a poll's results.

Cover letter

Highlight your information analyst skills on a cover letter by describing how you used them in an education or work environment. For example, you can highlight your programming abilities by discussing self-designed data collection software that you created in college. You may also highlight your part-time data collection positions, discuss ways you use advanced math and emphasize your problem-solving abilities in multiple jobs. Include two or three examples to help a potential employer better understand you and your skills.

Interview

When talking with a hiring manager in a job interview, highlight tasks that required your information analyst skills. Provide more detail than your cover letter, highlighting the data you collected, why you collected it, how you analyzed it, what conclusions you reached and ways this process helped your employer. Answer the hiring manager's questions, including multiple situations where you used these skills. Provide details about each situation and choose diverse examples that fully explore your information analyst capabilities.

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