Data Analyst Resume Skills and Keywords

What skills should I put on a data analyst resume?

The top skills to put on a data analyst resume are Python, Microsoft Azure and Microsoft Office (Excel and PowerPoint), along with computers and electronics, mathematics, and economics and accounting. Employers also look for dependability, attention to detail and integrity, which are best shown through results in your bullet points rather than listed.

• Python
• Microsoft Azure
• R
• Microsoft Excel
• Microsoft PowerPoint
• Computers and Electronics knowledge
• Mathematics
• Economics and Accounting knowledge
• Dependability
• Attention to Detail
• Integrity

What software should data analysts know?

Data analyst job postings most often ask for Python, Microsoft Azure, R, Microsoft Power BI and Microsoft Office (Excel and PowerPoint). Many data analysts also use web platform development, database management and development environment software; which products matter depends on the employer, so list the specific products a posting names and you have used.

• Python
• Microsoft Azure
• R
• Microsoft Power BI
• Tableau
• SAP
• Structured query language (SQL)
• Salesforce software
• Amazon Web Services (AWS)
• Snowflake
• SAS
• Microsoft Excel
• Microsoft PowerPoint
• Microsoft Office

What hard skills do employers want in data analysts?

Data analysts need computers and electronics far more than most workers, and mathematics, economics and accounting, and active learning more than most. Name these in your resume summary and prove each one with a bullet that shows you using it.

• Computers and Electronics · Needed far more than in most jobs
  Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
• Mathematics · Needed more than in most jobs
  Using mathematics to solve problems.
• Economics and Accounting · Needed more than in most jobs
  Knowledge of economic and accounting principles and practices, the financial markets, banking, and the analysis and reporting of financial data.
• Active Learning · Needed more than in most jobs
  Understanding the implications of new information for both current and future problem-solving and decision-making.
• Writing · Needed more than in most jobs
  Communicating effectively in writing as appropriate for the needs of the audience.
• Reading Comprehension · Needed more than in most jobs
  Understanding written sentences and paragraphs in work-related documents.

Compared with the average rating across all jobs in Department of Labor data.

What soft skills do data analysts need?

The most important soft skills for data analysts are dependability, attention to detail and integrity, followed by achievement orientation. Show them through results in your bullet points rather than listing them as single words.

1. Dependability: A tendency to be reliable, responsible, and consistent in meeting work-related obligations.
2. Attention to Detail: A tendency to be detail-oriented, organized, and thorough in completing work.
3. Integrity: A tendency to be honest and ethical at work.
4. Achievement Orientation: A tendency to establish and maintain personally challenging work-related goals, set high work-related standards, and exert high effort toward meeting those goals and standards.

What keywords should a data analyst resume include?

A data analyst resume should include the exact tool names, skills and job title from the posting. For data analysts, common keywords include Python, Microsoft Azure, Microsoft Office (Excel and PowerPoint), Business Analyst and Business Intelligence Analyst (BI Analyst). Applicant tracking systems and recruiters scan for these words, so use them wherever they truthfully describe your experience.

How do I write data analyst resume bullet points?

Start each data analyst bullet point with a past-tense verb and a core task, such as “Managed timely flow of business intelligence information to users,” then end it with a measurable result: what changed, by how much, and for whom. These starters come from the job’s most important tasks.

What are other job titles for a data analyst?

Other job titles for a data analyst include Business Analyst, Business Intelligence Analyst (BI Analyst), Business Intelligence Consultant (BI Consultant), Business Intelligence Coordinator (BI Coordinator) and Business Intelligence Specialist (BI Specialist). Government job data groups them as “Business Intelligence Analysts.” Search for these titles too, and use the posting’s exact title on your resume when it fits your experience.

• Business Analyst
• Business Intelligence Analyst (BI Analyst)
• Business Intelligence Consultant (BI Consultant)
• Business Intelligence Coordinator (BI Coordinator)
• Business Intelligence Specialist (BI Specialist)
• Competitive Intelligence Analyst
• Intelligence Analyst
• Market Intelligence Analyst
• Market Intelligence Consultant
• Strategic Business and Technology Intelligence Consultant
• Analytical Data Miner
• Business Consultant
• Business Data Analyst
• Business Database Analyst
• Business Information Analyst
• Business Intelligence Engineer
• Business Process Analyst
• Business Systems Analyst
• Business Systems Consultant
• Business Technology Consultant

What education do data analysts need?

Most data analysts need a bachelor's degree to get hired. No prior work experience is usually required. On your resume, list coursework or certifications in computers and electronics, economics and accounting, and mathematics. In a federal survey, 68% of data analysts said the job requires a bachelor's degree and 23% a master's degree.

How much do data analysts make?

Data analysts earn a median salary of $120,230 a year (the figure covers all data scientists), according to May 2025 federal wage data. The lowest-paid 10% earn less than $67,240, and the highest-paid 10% earn more than $199,130. Employment is projected to grow 34.6% from 2025 to 2035, faster than the 3.5% average for all jobs, with about 24,800 openings a year.

What’s changing in this field

The Bureau of Labor Statistics expects these trends to shape hiring. If your experience touches any of them, say so.

• Demand change - share increases as larger amounts of digital and electronic data are collected over the projections decade. Businesses in all industries will hire data scientists to analyze data to help improve business processes and design and develop new products.

What other jobs can data analysts do?

Data analysts’ skills carry over best to jobs as data scientists, computer systems analysts, and market research analysts and marketing specialists, which use the most similar skills and day-to-day work.