CV template · Data Analyst

Data Analyst CV Template

A Data Analyst turns messy numbers into decisions the business can act on. If you write SQL in your sleep, build dashboards people actually use, and can explain insights to non-technical stakeholders, this template helps you package that into a CV recruiters love.

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What recruiters look for

Top signals on a Data Analyst CV

Metrics in every bullet: % lift, time saved, dollars moved
Core stack: SQL, Python or R, Tableau / Power BI / Looker
Real business problems solved, not just a tool list
Stakeholder work and clear communication of findings
GitHub, Kaggle profile or public dashboard links
Familiarity with product metrics: retention, LTV, conversion
B2+ English for cross-functional and global teams

Key skills

Skills to feature on a Data Analyst CV

Hard skills

SQL (window functions, CTEs)Python (pandas, numpy, matplotlib)TableauPower BILooker / MetabaseA/B testingGoogle Analytics 4 + BigQueryAdvanced Excel / Google SheetsdbtAirflowStatistics and regression analysis

Soft skills

Data storytellingActive listeningCritical thinkingStakeholder communicationAttention to detail

Sample bullets

Ready-to-use lines for your CV

Copy these as starting points and swap in your own numbers.

01Built a 12-dashboard Tableau suite for the sales org, cutting weekly reporting prep from 6 hours to 20 minutes.
02Ran an A/B test on a new onboarding flow across 40,000 users, proved a 14% activation lift and unblocked the product team's release decision.
03Tuned heavy SQL queries in Snowflake, reducing warehouse spend by $3.2k/month with no impact on query speed.
04Designed a cohort retention model for the mobile app that helped marketing reallocate $80k of budget toward higher-LTV channels.
05Automated weekly C-level reporting via dbt and Airflow, removing 8 hours of manual analyst work per week.
06Spotted a payment-flow anomaly through Python segmentation analysis and recovered $45k of leaked revenue in one quarter.
07Implemented event tracking across GA4 and BigQuery for 5 product squads, achieving 100% coverage of key user journeys.
08Interviewed 18 stakeholders and rolled out self-service BI in Looker, cutting ad-hoc requests to the analytics team by 60%.
09Built a churn prediction model in Python with 82% accuracy; retention team saved 1,200 customers in the first 3 months post-launch.

Salary ranges

What Data Analyst earn

2024–2025 estimates. Wide ranges by experience and seniority.

Market

Junior

Mid

Senior

Ukraine

$700-1,300 USD/mo

$1,500-2,800 USD/mo

$3,000-5,000 USD/mo

2,200-3,500 EUR/mo

3,800-5,500 EUR/mo

5,800-8,500 EUR/mo

USA

$70,000-95,000 USD/yr

$100,000-140,000 USD/yr

$145,000-200,000 USD/yr

Interview prep

5 questions Data Analyst candidates hear

Q1Tell me about an analysis that changed a business decision. What was the dollar or % impact?
Q2Write a SQL query to return the top 10 customers by revenue in the last 30 days, accounting for refunds.
Q3How would you design an A/B test for a new checkout feature? What would you watch out for when reading results?
Q4A stakeholder needs a dashboard 'by tomorrow' but you see the data is inconsistent. What do you do?
Q5Explain the difference between correlation and causation using an example from your own work.

FAQ

Common questions about this CV

Do I really need Python if my SQL is strong?

SQL is the baseline, but without Python or R you'll struggle past junior roles. Most teams expect you to handle deeper analysis, pull from APIs, and automate the boring stuff.

What should my portfolio show if I have no commercial experience?

Grab open datasets from Kaggle or government portals and frame each project around a real business question: hypothesis, analysis, recommendation. Two or three sharp case studies beat ten shallow notebooks.

Should I move into Data Science after a few years of analytics?

It's one path, not the only one. Many strong analysts grow into Senior Analyst, Analytics Engineer or Product Analyst roles, where pay is comparable and the work stays close to the business.

How many bullets per job should I include?

Aim for 4-6 bullets on your most recent role and 2-3 on older ones. Every bullet needs a number. Fewer bullets with real outcomes always beat a long list of duties.

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