At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That’s why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. 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; with a focus on establishing best-practice processes and enabling data-driven decision making across all supported product teams. The Tesco Groceries & Clubcard app and store self-checkout tills are amongst the digital products supported by our team. Everything is underpinned by our continuous drive for the best tools and technology to deliver our vision. We’re driving innovation and transforming our Technology to become the world’s leading e-commerce business. We need people who share our ambition to deliver for our customers; Passionate and confident people willing to take the initiative and drive us forwards. In return we offer excitement, a great team, an excellent benefit package, and significant career development opportunities. At Tesco, you’ll find a world-class data environment with the Tesco Analytics Platform – all of our analytics, sales and customer data in one place. Our team offers unparalleled opportunities to gain fantastic big data analytics experience while working extremely closely with the key decision-makers in the business. Joining us means playing a part in defining, building and launching an ambitious roadmap of digital products that could affect the lives of millions of people over the years to come. If that sounds exciting then we'd love to hear from you. Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities and measures: Collaborate with the Product Managers, Data Scientists and User Experience (UX) owning the Grocery shopping and Whoosh customer journeys, identifying and understanding their data needs. Help translate business challenges into questions and analysis, in order to 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-dive 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. Following our Business Code of Conduct and always acting with integrity and due diligence. 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. You’ll need to be able to demonstrate experience of: Working effectively with a variety of people from different backgrounds and with different levels of data literacy. Explaining complicated information to stakeholders in relatable terms – you must be able to articulate complex concepts to a diverse audience. The ability to influence without authority, maintaining cross-functional relationships. Maintaining commercial and customer awareness in your work. Ideally, 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. Able to build solid working relationships with peers and senior leadership. Ability to demonstrate strong written, verbal communication and presentation skills to all levels of seniority and disciplines within the organisation.