Data Analyst resume example

Data Analyst CV example from London: SQL, Python and Power BI for 48 stores, £140k a year saved on bakery waste and 12 hours of weekly reporting automated.

Cover letter for this role

Priya Shah

Data Analyst | SQL, Python and Power BI | Retail and Operations Analytics

London3 years of experience

Summary

Data Analyst with 3 years in grocery retail and social housing. Writes SQL against large sales and operations datasets, automates reporting in Python and builds Power BI dashboards that managers actually open. Good at turning a loose question from a stakeholder into a clear answer with the caveats stated.

Experience

Data AnalystJan 2025 - Present

Greenleaf Grocers

  • Built the weekly store performance dashboard in Power BI, used by 60 store and area managers across 48 stores.
  • Automated 5 manual Excel reports with Python and SQL, saving the commercial team about 12 hours a week.
  • Analysed 2 years of till data to show waste on fresh bakery ran 30% higher in smaller stores; a revised ordering rule cut it by £140k a year.
  • Answer 15 to 20 ad hoc data requests a month from buying, finance and operations.
Junior Data AnalystOct 2023 - Dec 2024

Thameside Housing Association

  • Cleaned and matched records for 9,000 homes across 3 legacy systems ahead of a housing management system migration.
  • Built a repairs dashboard that showed 22% of jobs were missing their 28-day target; the figure fell to 11% within 6 months.
  • Produced monthly KPI packs for the board and the regulator.

Skills

  • SQL (SQL Server, BigQuery)
  • Python (pandas)
  • Power BI and DAX
  • Excel (Power Query, pivot tables)
  • Data Cleaning
  • Data Visualisation
  • KPI Reporting
  • Stakeholder Communication
  • A/B Test Analysis
  • Git

Certifications

  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Education

BSc (Hons) Mathematics, Queen Mary University of London, 2023

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What hiring managers check first

A decision your analysis changed

Hiring managers want to see that someone acted on your work. One bullet with a clear business outcome is worth several describing reports.

Core tools

SQL is a near-universal requirement, followed by Excel and a BI tool. Python or R is increasingly expected for mid-level roles.

Who uses your work

Say how many people rely on your dashboards or reports. Adoption shows your work is useful.

Clear communication

Analysts must explain findings to non-technical colleagues. Mention board packs, presentations or stakeholder requests.

Keywords the applicant tracking system matches

  • Data Analyst
  • SQL
  • Python
  • Power BI
  • Excel
  • Data Visualisation
  • Dashboards
  • KPI Reporting
  • Stakeholder Management
  • Data Cleaning
  • Retail Analytics
  • Insight

Use the ones that are true of you, in the words the posting uses.

Mistakes to avoid

  1. Listing tools without context

    'Python, SQL, Tableau' in a skills list is not enough. Show each tool at work in a bullet.

  2. Describing dashboards, not decisions

    A dashboard is a means. Say what it revealed or what changed as a result.

  3. Overstating seniority

    At 3 years' experience, keep claims in proportion to your scope. Interviewers probe any result that sounds bigger than the role.

Questions

How long should a data analyst CV be in the UK?
One to two pages. With 3 years' experience, one full page is often enough; move to two when you have more projects to show.
Should I include a portfolio or GitHub?
It helps, especially for junior roles. Share one or two projects with real, messy data rather than tutorial datasets.
Is a certification worth it?
A Power BI or similar certification can help you get past early screening, but a clear example of impact matters more in interviews.