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Data Analyst - Customer & Product Analytics

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Randstad Technologies Recruitment
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Title: Data Analyst - Customer & Product Analytics
Location: Manchester (2 days in Office
Contract: 6 Months (Extension Likely)
Payrate: 50 - 66 Per Hour

About the Role

We are partnering with a leading global digital platform in the travel and mobility space, looking for a Data Analyst to join their Customer & Product Analytics team.

This role sits within a fast-growing business unit focused on enhancing end-to-end travel experiences, including areas such as ride-hailing, rail, and airport transfers. You will play a key role in using data to improve customer journeys and influence product decisions at scale.

What You'll Be Doing
  • Analyse large and complex datasets to generate actionable insights
  • Design and deliver scalable reporting, dashboards, and data solutions
  • Partner with cross-functional teams including Product, Engineering, and Business stakeholders
  • Conduct A/B testing and experimentation to evaluate product and feature performance
  • Build and maintain high-quality datasets for advanced analytics
  • Translate technical findings into clear, business-focused insights
  • Support and mentor junior analysts within the team
What We're Looking For
  • Proven experience in Data Analytics or a similar role
  • Strong SQL skills and experience with Python / Py Spark
  • Experience with data visualisation tools (e.g. Tableau, Power BI)
  • Hands‑on experience with A/B testing and experimentation
  • Familiarity with customer analytics tools (e.g. Google Analytics, Adobe Analytics)
  • Strong stakeholder management and communication skills
  • Ability to work independently and manage multiple priorities
Nice to Have
  • Background in Statistics, Econometrics, Mathematics, or a related field
  • Experience in product‑led, e‑commerce, or customer‑centric environments
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