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CV-exempel

Data Analyst

CV example for data analysts with SQL, Python, Tableau and Power BI. With tips on portfolio, business impact and progression to analytics engineer.

Hannah Pritchard

hannah.pritchard@example.co.uk·+44 7700 445566·Manchester·linkedin.com/in/hannahpritchard
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about

Data analyst with 4 years of experience in retail analytics at Tesco and Ocado. SQL, Python (pandas, scikit-learn) and dbt for pipelines; Tableau and Power BI for stakeholder reporting. Owner of the weekly forecasting dashboard that 12 category managers used for buying decisions.

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experience

[2]

Data Analyst — Category & Pricing

Ocado · Hatfield
Aug 2023 — PĂ„gĂ„ende

Analytics team within Commerce, supporting 12 category managers with data-driven buying and pricing decisions.

  • Built a forecasting dashboard in Tableau used weekly by 12 category managers for buying decisions.
  • Migrated 8 legacy reports from Excel to dbt + Looker; average refresh time from 3h to 8min.
  • A/B test analysis for promotional mechanics; identified that BOGOF on fresh produce performed 23% better than discount.

Junior Data Analyst

Tesco · Welwyn Garden City
Sep 2021 — Jul 2023

Part of the Customer Insights team within Tesco Online.

  • SQL queries and dashboards in Power BI for the marketing team.
  • RFM segmentation of Clubcard customers; pilot resulted in +ÂŁ320K incremental revenue.
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education

[1]

MSc Business Analytics

Alliance Manchester Business School · Manchester
Sep 2019 — Aug 2021
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stack

[8]
SQL (advanced)Python (pandas, scikit-learn)dbtTableauPower BILookerA/B testingStatistical analysis

Mall: tech · FÀrg: teal

Hur skriver man ett starkt CV som data analyst?

Konkret, utan klyschor — vad som fungerar hos rekryterare.

Tools + impact, not just tools

Everyone writes "SQL and Python". What sets you apart: what did you do with them and what changed measurably? "Built a forecasting dashboard used weekly by 12 category managers" is stronger than "Tableau experience".

Scale of impact in numbers

For data-analyst roles three numbers are king: revenue/cost impact (ÂŁ), efficiency gains (hours saved, refresh time), and dataset size/users (12 stakeholders, 500K customers, 8M rows). Pick one per bullet.

Tool overlap with your target role — match exactly

Recruiters at Skyscanner, Monzo, Ocado, Boohoo use keyword matching. If the job ad mentions dbt + Looker and you have it, write exactly those words. Not "building transformations" — "building dbt models".

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