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# Senior Product Data Scientist / Product Data Analyst

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £104,000.0 - £130,000.0
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Data Transformation, Data Presentation, Data Visualization, Python (Programming Language), Standard Sql, Sql Optimization, Marketplace, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-product-data-scientist-product-data-analyst/57193469

## About the Role

* Strong experience applying product analytics within a digital, consumer-facing environment.
 * Proven ability to work in fast-paced businesses and operate autonomously with minimal oversight.
 * Advanced SQL skills and experience using Python or R for analytical work.
 * Hands-on experience designing, running, and analysing experiments, including A/B testing.
 * Experience working with dbt or similar data transformation tools.
 * Experience with data visualisation platforms, ideally Light-dash or comparable BI tools.
 * Ability to translate complex business questions into structured analytical approaches and actionable insights.
 * Strong stakeholder management and data storytelling skills, with the confidence to present findings to senior audiences.
 * Detail-oriented mindset with a proactive, self-starting approach.
 * Experience with Data bricks and statistical techniques such as bootstrapping would be beneficial.
 * Previous experience within retail, ecommerce, marketplace, or similar digital businesses is highly desirable., * DBT
 * experimentation
 * SQL
 * Light-Dash

## Description

* Partner with Product and business stakeholders to identify user behaviour trends, customer pain points, and product opportunities through quantitative analysis.
 * Design, support, and evaluate experiments and A/B tests to measure product performance and impact.
 * Deliver deep-dive analysis and actionable recommendations that support strategic product initiatives.
 * Work closely with Engineering teams to establish and maintain reliable data foundations.
 * Build and maintain self-service dashboards that enable data-informed decision making across the organisation.
 * Take ownership of the product analytics function, driving best practice and helping shape the future direction of analytics within the business.


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