Skills needed for a data analyst in 2026
A data analyst needs SQL, a spreadsheet tool used well, one analysis language such as Python or R, a visualisation tool, and basic statistics. Just as important is turning a result into a clear recommendation for someone who is not an analyst.
Check yours against a real data analyst job. The tool list is well known. The offer usually turns on whether the resume shows a decision that changed because of the analysis.
See how close you are to data analyst jobs.
Takes about a minute- Your closest jobs, each scored out of 100 against your resume.
- What you already have, and what is left to close.
- In your free account, add data analyst as a career path and get a course for each gap, sized to the hours you have.
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No resume yet?Build one with SkillDrift AI in 2 minutes.Build my resumeTechnical skills most postings ask for
SQL
Joins, aggregations and window functions on real tables.
Excel or Google Sheets
Pivot tables, lookups and clean models.
Python or R
Cleaning data and repeatable analysis.
Visualisation
Power BI, Tableau or Looker, and charts that answer one question.
Statistics
Averages, distributions, and knowing when a difference is real.
Human skills that decide the job
Communication
Explaining a result to someone who will act on it.
Business understanding
Knowing which question actually matters.
Attention to detail
Catching the error before the meeting does.
The skills that decide the offer
Most people who reach the interview have the core list. These are the skills that usually separate them.
Recommendations, not reports
Postings ask for analysts who say what to do next. Show one analysis that changed a decision.
SQL under pressure
Many interviews include a live SQL exercise. Practise on real, messy data.
Communication
In the SkillDrift Jobs Index, communication is still one of the most requested skills across postings.
How to show these skills on your resume
The second line shows SQL, visualisation and a business result.
Before
Created dashboards in Power BI.
After
Built a Power BI dashboard on SQL data that showed where returns were rising, which led the team to change one supplier.
See how a screening system reads your resume with the ATS score checker, then turn the gaps into a plan with a career roadmap.
What you see after the upload: each data analyst job scored out of 100, the skills you already show, and the ones to close, each with a roadmap.
Why check this in SkillDrift?
- Real data analyst jobs, scored for youEach one scored out of 100 against your resume, with the skills you already show and the ones to close named.
- A plan that moves your scoresLearning built for each gap and sized to your hours. Finish it and the certificate goes into your resume, and the jobs that ask for that skill move up.
- Ready for the interviewPractise the data analyst interview out loud and get an honest score out of 10, with the weak answers turned into a plan.
Data analyst or data scientist?
A data analyst answers business questions with existing data. A data scientist builds models and predictions. Many roles blend the two, so read the posting rather than the title.
Questions people ask
What skills are required for a data analyst?
SQL, Excel or Sheets, Python or R, a visualisation tool, basic statistics, and clear communication of results.
Do data analysts need to code?
Most roles expect SQL and many expect some Python or R.
What is the most important data analyst skill?
SQL is the most common requirement. Communication often decides the offer.
How do I check my skills against a data analyst job?
Upload your resume to SkillDrift and pick the job. It names the skills the posting asks for that your resume does not show, scores the job out of 100, and builds a learning path for each gap.