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
- 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
- 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
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