We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about flexible working. 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. So, talk to us throughout your application about how we can support. The Analytics Capabilities team is a team of Data Analysts and Product Managers. It is responsible for defining, prioritising and delivering the self-serve analytics strategy, event streaming and optimisation capability, methods and components for enabling real-time, data-driven decision-making and customer data insight across all of Tesco’s businesses. It accelerates the self-serve delivery of ad-hoc insight from customer data and enhances the value of our analysis to the business and customers. It connects the customer analytics and insight innovation needs of Tesco’s businesses to our core data platform, tools and services. Formulate the vision, strategy and roadmap for building analytics capabilities across the data & analytics portfolio, and work with others in aligning the strategic priorities, dependencies and roadmap across the data & analytics product portfolio. Plan and coordinate Analytical Products that have dependencies on multiple product and engineering teams. Lead discovery work around a minimum viable product (MVP) for any new Analytical Products, collaborating with analysts and engineering teams to prototype and validate a MVP. Ensuring data quality and integrity by working with the data supply and demand team. Help the team in breaking down a complex piece of work/ epic into smaller, deliverable chunks of value that can be delivered faster. Provide leadership and direction to cross-functional team(s) on short-term tasks/near-term priorities. Empower teams across Tesco to use Analytics environment to get the most of performance reviews and business insights. LI-LG1 ​LI-Hybrid Understands engineering and infrastructure best practices and practicalities to help resolve delivery challenges. Knowledge of using Analytics systems and databases such as Teradata, Hadoop and other SQL or NoSQL technologies. Knowledge of using business intelligence and visualisation tools. Expertise in using Tools & Techniques for Backlog prioritisation, managing dependencies and gaining insights using available data points. Broad knowledge and understanding of the technologies relevant to data platforms. Experience creating outputs for both technical and non-technical audiences. Strong decision making and prioritisation skills, especially when multiple trade-offs are involved and faster decisions are required Knowledge of Agile methodologies, writing effective user stories/ acceptance criteria