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, with a focus on establishing best‑practice processes and enabling data‑driven decision making across all supported product teams.
The team supports digital products such as the Tesco Groceries & Clubcard app, website, support centre and store tills. We continually seek the best tools and technology to deliver our vision and drive innovation across our technology organisation.
We need passionate and confident people willing to take initiative and drive us forwards. In return we offer excitement, a great team, an excellent benefit package and significant career development opportunities.
Key Responsibilities
- Collaborating with Product Managers, Optimisation Managers, and Digital Analysts to conduct A/B tests, and providing analysis of results to deliver actionable recommendations that can be applied to improve our digital products and the customer experience.
- Performing analyses of customer behaviour within experimentation using a variety of data sources and tools (SQL Hive / Spark, Python, Alteryx, Adobe Analytics) and presenting insights in a simple and engaging way to a range of audiences including Product, UX, and Engineering.
- Ensuring the reliability of our test results by applying appropriate statistical testing methods to our test data.
- Working closely with the Analytics Capabilities and Digital Analytics teams to ensure tracking and means of measurement is in place for our A/B tests.
- Working with the finance team to forecast accurate and representative financial benefits.
- Learning new analytics techniques and tools rapidly with the support of the Senior Analysts and putting these skills into practice.
- Following our Business Code of Conduct and always acting with integrity and due diligence.
- Experience working with and analysing data from multiple sources to generate meaningful insights.
- The ability to explain complex information clearly and effectively to stakeholders with varying levels of data understanding.
- A good understanding of A/B testing principles, and an understanding of optimisation and its business value.
- A proactive, self‑motivated approach, with the ability to plan your work and adapt to changing priorities.
- Strong interpersonal skills, with the ability to build effective working relationships across teams and with senior stakeholders.
- Experience querying data with SQL.
Additional Experience
- Exposure to A/B testing tools.
- Familiarity with web analytics tools such as Adobe Analytics, Google Analytics, or similar.
- Relevant experience in a quantitative discipline, or a similar university degree of 2:1 or higher.
Benefits & Culture
We’re proud to be an accredited Disability Confident Leader and are committed to providing an inclusive and accessible recruitment process.
Flexible working is supported; you may spend part of your week collaborating with colleagues at office locations or locally, and part of your week working remotely.
Excellent benefit package and significant career development opportunities are available.
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