Overview
The Product Analytics and Experimentation team sits within the Data & Analytics directorate in the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation, establishing best‑practice processes and enabling data‑driven decision making across supported product teams such as the Tesco Groceries & Clubcard app and store self‑checkout tills. The team supports the world’s leading e‑commerce business by driving innovation through best‑practice tools and technology.
We need people passionate about delivering for customers, confident, initiative‑driven, and ready to grow the Product and the Analytics function. The role can be based in Welwyn Garden City or Farringdon, London.
Key Responsibilities
- Form and nurture relationships with Product Managers and Data Scientists; help define objectives and key results, set targets, analyse product releases, define and validate hypotheses, and recommend growth and improvement opportunities.
- Execute end‑to‑end analysis: gather and shape requirements; define success metrics; identify and validate data sources and analysis methods; deliver insights and liaise with the business to ensure recommendations are delivered.
- Demonstrate ownership, responsiveness and commitment to work.
- Make data‑based decisions, especially when multiple trade‑offs are involved and fast decision‑making is required.
- Coach and mentor junior colleagues and peers in the team, including direct reports.
- Use data from multiple sources to identify trends, reveal new opportunities, and answer business questions.
- Represent the team confidently and competently when needed.
- Understand the commercial impact of recommendations and insights.
- Identify unstructured problems and articulate opportunities for new analytics projects.
- Provide context to analyses by incorporating external data for comparison (industry benchmarks).
- Follow the Business Code of Conduct, act with integrity and due diligence.
- Work effectively with multi‑disciplinary teams and contribute to all phases of the product development lifecycle.
- Articulate complex concepts to a diverse audience; excel in verbal and written communication.
- Influence without authority.
Requirements
- Experience in digital or product analytics positions.
- University degree of 2:1 or higher in a quantitative discipline, or relevant experience.
- Commercial awareness.
- Champion of digital analytics tools.
- Proficiency with big data, business intelligence and data visualisation.
- Experience with online visitor segmentation and statistical modelling techniques.
- Advanced online data collection.
- Advanced SQL skills.
- Advanced ETL (cleansing, etc.).
- Conceptual thinking across platforms (desktop, mobile, tablet) and channels (online, in store).
Personal Attributes
- Flexibility, ability to plan and organise, responsiveness, creativity, self‑starter.
- Ability to build solid working relationships with peers and senior leadership.
- Strong written, verbal and presentation skills to all levels of seniority and disciplines.
Equal Opportunity
We are committed to equality, diversity and inclusion. All candidates are welcome to apply.
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