Data analyst CV example (UK)

A complete CV for a fictional data analyst, on A4 in the Meridian template, with notes on why it works.

Priya Rahman

Data analyst

Profile

Data analyst with seven years in retail and subscription businesses, working mainly in SQL, Python and Power BI. Known for turning messy operational data into analysis that changes a decision. Looking for a senior analyst role with more ownership of experimentation.

Work experience

Data Analyst, Fernbrook Subscriptions Ltd

Leeds | Apr 2022 – Present

Built a churn-risk model in Python that the retention team used to target 4,000 customers a month, reducing monthly churn from 5.1% to 3.3%
Designed the company's A/B testing framework and analysed 22 pricing and onboarding experiments in the first year
Rebuilt 14 Power BI reports on a single tested data model, cutting report refresh failures from weekly to fewer than one a quarter
Analysed delivery-slot demand, informing a courier contract change that saved an estimated £180,000 a year
Ran monthly SQL workshops for 12 colleagues in finance and marketing

Junior Data Analyst, Calder Home Retail

Wakefield | Sep 2019 – Mar 2022

Automated the weekly trading report with SQL and Python, saving the commercial team 6 hours each Monday
Mapped stock-outs across 48 stores, identifying 3 replenishment rules behind 40% of lost sales
Cleaned and merged loyalty-card data for 1.2 million customers ahead of a CRM migration
Presented quarterly basket analysis to the buying director and 8 category managers

Education

BSc Economics with Placement Year, University of Pennine Vale

Huddersfield | 2015 – 2019

First-class honours; dissertation on regional house price modelling in R

Completed a 12-month placement at Moorside Research, analysing 6 consumer surveys of up to 3,000 respondents in SPSS and Excel

Skills

Querying and analysis: SQL (PostgreSQL, BigQuery), Python (pandas, scikit-learn, statsmodels), R, Excel
Visualisation: Power BI (DAX), Looker Studio, matplotlib
Methods: A/B testing, regression, cohort and churn analysis, forecasting
Ways of working: Git, dbt, documentation, presenting to non-technical audiences

Certifications

Microsoft Certified: Power BI Data Analyst Associate, Microsoft, 2022

The same CV as plain text (what you'd paste into a job portal)

PRIYA RAHMAN
Data analyst
priya.rahman@example.com | 07700 900184 | Leeds | linkedin.com/in/priyarahman-example | priyarahman.example.com

PROFILE
Data analyst with seven years in retail and subscription businesses, working mainly in SQL, Python and Power BI. Known for turning messy operational data into analysis that changes a decision. Looking for a senior analyst role with more ownership of experimentation.

WORK EXPERIENCE
Data Analyst, Fernbrook Subscriptions Ltd
Leeds | Apr 2022 – Present
- Built a churn-risk model in Python that the retention team used to target 4,000 customers a month, reducing monthly churn from 5.1% to 3.3%
- Designed the company's A/B testing framework and analysed 22 pricing and onboarding experiments in the first year
- Rebuilt 14 Power BI reports on a single tested data model, cutting report refresh failures from weekly to fewer than one a quarter
- Analysed delivery-slot demand, informing a courier contract change that saved an estimated £180,000 a year
- Ran monthly SQL workshops for 12 colleagues in finance and marketing

Junior Data Analyst, Calder Home Retail
Wakefield | Sep 2019 – Mar 2022
- Automated the weekly trading report with SQL and Python, saving the commercial team 6 hours each Monday
- Mapped stock-outs across 48 stores, identifying 3 replenishment rules behind 40% of lost sales
- Cleaned and merged loyalty-card data for 1.2 million customers ahead of a CRM migration
- Presented quarterly basket analysis to the buying director and 8 category managers

EDUCATION
BSc Economics with Placement Year, University of Pennine Vale
Huddersfield | 2015 – 2019
First-class honours; dissertation on regional house price modelling in R
- Completed a 12-month placement at Moorside Research, analysing 6 consumer surveys of up to 3,000 respondents in SPSS and Excel

SKILLS
Querying and analysis: SQL (PostgreSQL, BigQuery), Python (pandas, scikit-learn, statsmodels), R, Excel
Visualisation: Power BI (DAX), Looker Studio, matplotlib
Methods: A/B testing, regression, cohort and churn analysis, forecasting
Ways of working: Git, dbt, documentation, presenting to non-technical audiences

CERTIFICATIONS
Microsoft Certified: Power BI Data Analyst Associate, Microsoft, 2022

Why this works

The bullets describe decisions, not dashboards. “Built a churn model” says what Priya made; “which the retention team used to target 4,000 customers and cut churn by 1.8 points” says why it mattered.
Numbers stay plausible for the role. An analyst rarely owns revenue, so the bullets credit analysis that informed a saving or a decision rather than claiming the saving outright.
The profile is short and specific: sector, tools, and the type of work Priya wants next. It avoids “detail-oriented team player”, which every analyst CV says and no reader believes without evidence.
Skills are grouped so a recruiter can tick off SQL, Python and Power BI in seconds, and an ATS reads the same words as plain text. Proficiency bars or star ratings would add nothing an employer can trust.
The Meridian template’s right-aligned dates keep the timeline easy to scan, and the CV runs to just over a page, which is normal for a UK CV with seven years’ experience. The placement year sits under Education rather than as a separate job, so the timeline shows no false gap.

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Priya Rahman is a fictional person. Every employer, school, number and contact detail on this CV is invented.