Overview
The Product Analytics and Experimentation team sits within the Data & Analytics directorate of the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation, supporting digital products such as the Tesco Groceries & Clubcard app and store self‑checkout tills.
The position will be based at our Digital Innovation Centre in Farringdon, London, but some travel to Welwyn Garden City head office will be required. In line with our values, we strongly embrace flexible working options.
Responsibilities
* Collaborate with Product Managers, Data Scientists and UX teams owning the Grocery shopping and Whoosh customer journeys, identifying and understanding their data needs.
* Help translate business challenges into questions and analysis, and make product recommendations with colleagues and customers at the heart.
* Help define business objectives/customer needs by capturing the right requirements from the right customers, and challenging assumptions.
* Participate in and contribute to setting objectives and goals for the product teams you support and help measure these.
* Perform deep‑drop analyses using a variety of data‑capture and mining tools (Hadoop, Alteryx, Adobe Analytics), and communicate findings and opportunities to product teams.
* Create, maintain and automate monitoring and analysis dashboards using visualisation tools (Tableau).
* Create ad‑hoc data visualisations following Tesco best‑practice.
* Learn new analytics techniques and tools rapidly and put these skills into practice.
* Follow our Business Code of Conduct and act with integrity and due diligence.
* Work effectively with a variety of people from different backgrounds and with different levels of data literacy.
* Explain complicated information to stakeholders in relatable terms.
* Influence without authority, maintaining cross‑functional relationships.
* Maintain commercial and customer awareness in your work.
Qualifications
* Experience of accessing data using SQL and digital analytics platforms.
* Relevant experience in a quantitative discipline, or a similar university degree of 2 : 1 or higher.
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 and presentation skills to all levels of seniority and disciplines within the organisation.
EEO Statement
We are an equal‑opportunity employer and are committed to diversity and inclusion. We welcome applications from individuals of all backgrounds.
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