Data & AnalyticsMid level

Data Analyst CV Example

SQL, dashboards and analyses that changed decisions — an analyst CV with a paper trail.

Data analyst CVs blur together because everyone lists SQL, Excel and a BI tool. What separates them is evidence that an analysis changed a decision. Every bullet here follows the chain: question, analysis, decision, measured result.

Why this CV works

Each analysis is chained to a decision and a measured result — the exact structure hiring managers probe in interviews.
Tools appear inside the work ("SQL/BigQuery", "Power BI suite"), so the skills list is corroborated rather than asserted.
The margin-recovery story gives the CV one large, memorable number.
A style guide and review checklist show craft maturity beyond individual analyses.

The professional summary

Data Analyst with 5 years in retail and delivery businesses. Built the SQL models and Power BI suite behind weekly trading decisions for 60 stores, found the pricing-anomaly pattern that recovered AED 2.3M of margin, and cut a 3-day manual reporting cycle to 40 minutes. Fluent in SQL, Power BI and Python (pandas).

Name your stack in one clause and your two best decision-changing analyses in the rest. "Turning data into insights" is the emptiest phrase in analytics — replace it with the insight itself.

Writing the work experience

Write bullets as question → analysis → decision → result. If the decision was not yours, credit it honestly ("the resulting tier redesign") — analysts are hired to inform decisions, not claim them.

Turning duties into achievements

Instead ofCreated reports and dashboards

WriteBuilt the SQL model and Power BI suite behind the Monday trading meeting for 60 stores

Instead ofAnalysed pricing data

WriteFound a promotion-pricing anomaly across 4 categories; the fix recovered AED 2.3M of annual margin

Skills on this CV

SQLPower BIPython (pandas)Data modellingExcelDAXA/B test analysisData cleaningStakeholder reportingGoogle BigQueryETL basicsStatistics

ATS tips for Data Analysts

List "SQL", "Power BI" and "Python" as separate skills — each is filtered individually.
Include "data analysis" and "data analytics" once each; ads split between the two.
Name the warehouse (BigQuery, Snowflake, Redshift) if you used one — increasingly a hard filter.

ATS checks help identify potential compatibility issues, but employers and ATS platforms use different criteria — no template or score can guarantee an outcome.

Writing tips

One big recovered/earned number anchors the whole CV — find yours and put it early.
Time saved on reporting cycles is the most transferable analyst metric; state before and after.
Avoid listing every chart you have made; list the meetings and decisions your charts run.