Data & Analytics CV guide

Data Analyst CV Guide: Keywords, Skills & ATS Tips

Building a CV for Data Analyst roles is not about copying a list of keywords. It is about making your genuine experience easy to recognise — for recruiters and for the systems employers use to organise applications.

UK-focusedRole benchmark: Data AnalystNo keyword stuffing

What should a Data Analyst CV show?

A strong Data Analyst CV should quickly show the type of work you have done, the level of responsibility you held and the results or standards you achieved. Recruiters usually need evidence that you can perform the core responsibilities of the role, while an ATS may also look for terminology that overlaps with the vacancy.

ApplyWell’s role benchmark is built from common UK terminology for Data Analyst work. It is a useful starting point, but the actual vacancy should always take priority because employers describe similar jobs differently.

Common Data Analyst CV keywords

These are examples of terms that can be relevant to Data Analyst applications. Only use a term when it truthfully reflects your experience.

data analysisSQLExcelPower BIdashboardsKPIsdata visualisationreportingdata qualityinsightsPythonTableauETLdata cleansingpivot tablesPower Query
Important: an ATS-friendly CV is not one that repeats keywords as often as possible. The strongest approach is to use the employer’s language naturally inside credible evidence of your work.

Responsibilities worth evidencing

Depending on the vacancy, a recruiter may expect evidence around responsibilities such as:

  • Analyse data and produce actionable insights
  • Build reports, dashboards and KPI views
  • Validate and improve data quality
  • Communicate findings to stakeholders
  • Demonstrate experience relevant to data analyst

How to write your Data Analyst personal profile

Your opening profile should position you for the target role in a few lines. Focus on your relevant experience, the environment you have worked in and the strongest skills you can prove. Avoid generic claims such as “hard-working” unless the rest of the CV supports them.

Profile framework — adapt with your real evidence:

A data analyst with experience in data analysis, SQL, Excel, Power BI, dashboards. Skilled in supporting day-to-day delivery, working accurately and communicating effectively with colleagues and customers. Able to demonstrate [insert genuine achievement or scope], with a practical focus on reliability, quality and results.

Turn duties into stronger evidence

A common reason CVs underperform is that they only list duties. Keep the responsibility, but add scale, quality, outcome or achievement wherever you can verify it.

Evidence-led framework:

Analyse data and produce actionable insights for [X] people / orders / customers, achieving [genuine outcome or target].

Evidence-led framework:

Build reports, dashboards and KPI views while maintaining [accuracy / quality / service measure] of [insert truthful figure if known].

Evidence-led framework:

Validate and improve data quality and contributed to [specific improvement, saving, target or customer outcome].

Alternative job titles to consider

Employers may advertise similar work under different titles. For this benchmark, related titles include MI Analyst, Reporting Analyst, Data Reporting Analyst, Business Data Analyst. Search broadly, but make sure the responsibilities genuinely match the work you want.

Common ATS mistakes on a Data Analyst CV

  • Using a generic CV without changing the profile or key skills for the target role.
  • Adding keywords that are not supported by genuine experience.
  • Hiding important experience inside long paragraphs instead of clear achievement-led bullets.
  • Using unclear section headings that make employment history or skills harder to identify.
  • Relying on a generic role benchmark when the actual vacancy is available.

Check your CV against this role

ApplyWell’s free checker can preload the Data Analyst benchmark and compare the text of your CV with common role terminology. If you have the real job advert, paste that too for a more vacancy-specific comparison.

Free tool: the ApplyWell ATS Readiness Score is an internal readiness estimate, not the score used by a particular employer or ATS provider.

Run the free Data Analyst CV check