The Product Analytics and Experimentation team sits within the Digital Product team in the Technology function. Our mission is to deliver insightful and actionable data, through reporting, analysis, and optimisation; with a focus on establishing best-practice processes and enabling data‑driven decision making across all product teams. The Groceries, Clubcard websites and apps, Tesco till, Colleague Apps and the newly launched Clubcard Plus propositions are among the digital products supported by our team.
Benefits
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day (plus Bank holidays)
- Private medical insurance
- 26 weeks maternity and adoption leave (after 1 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
Responsibilities
- Owning relationships with product managers and UX leads, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypotheses, and making product recommendations.
- Executing end‑to‑end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data; identifying and validating methods of analysis; delivering insights and liaising with clients and partners to ensure the best recommendations are identified and delivered.
- Deep dive analysis into key areas of the business.
- Supporting, analysing and visualising data to understand areas for optimisation and where to prioritise initiatives.
- Demonstrating strong, data‑based decision‑making skills, especially when multiple trade‑offs are involved, and fast decision‑making is required.
- Having great coaching skills and mentoring junior colleagues and peers in the team.
- Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
- Confidently and competently representing the team when needed.
- Understanding the commercial impact of your recommendations and insight.
- Identifying unstructured problems and articulating opportunities to form new analytics project ideas.
- Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks).
Qualifications
- Working effectively with multi‑disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
- Excellent verbal and written communication skills – the ability to articulate complex concepts to a diverse audience.
- The ability to influence without authority.
- Experience in digital analytics positions.
- University degree of 2:1 or higher in a quantitative discipline or relevant experience.
- Commercial awareness.
- Being a champion of digital analytics tools.
- Using big data, business intelligence and data visualisation tools (ideally Hadoop and Tableau).
- Advanced data collection from a range of different sources.
- Strong SQL.
- Advanced ETL (cleansing, etc.).
- Thinking at a conceptual level across several customer and colleague touch points.
Personal
- Flexibility, ability to plan and organise, responsiveness, creativity, self‑starter.
- Ability to build solid working relationships with peers and senior leadership.
- Strong written, verbal communication and presentation skills to all levels of seniority and disciplines within the organisation.
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