Digital Analyst (myProduct)

at  Tesco

About the role
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 optimisation; with a focus on establishing best-practice processes and enabling data-driven decision making across all product teams. Checkout tills, Scan As You Shop devices and the Tesco Groceries & Clubcard mobile app are amongst the digital products supported by our team.
You will be responsible for

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:

• Owning relationships with product managers and UX leads, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making product recommendations.
• Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data; identifying and validating methods of analysis; delivering insights and liaising with clients and partners to ensure the best recommendations are identified and delivered.
• Supporting, analysing and visualising data to understand areas for optimisation and where to prioritise initiatives.
• Demonstrating strong, data-based decision-making skills, especially when multiple trade-offs are involved, and fast decision-making is required.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• Creating powerful data visualisations following Tesco’s best practices.
• Confidently and competently representing the team when needed.
• Understanding the commercial impact of your recommendations and insight.
• Identifying unstructured problems and articulate opportunities to form new analytics project ideas.
• Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks)

You will need

You’ll need to have demonstrated experience of:

• Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
• Excellent verbal and written communication skills – you must be able to articulate complex concepts to a diverse audience.
• The ability to influence without authority.
• Experience in digital analytics positions.
• University degree of 2:1 or higher in a quantitative discipline or relevant experience
• Commercial awareness.
• Using big data, business intelligence and data visualisation tools.
• Advanced data collection from a range of different sources.
• Strong SQL.
• Advanced ETL (cleansing, etc.)
• Thinking at a conceptual level across several customer and colleague touch points.

• Owning relationships with product managers and UX leads, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making product recommendations.
• Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data; identifying and validating methods of analysis; delivering insights and liaising with clients and partners to ensure the best recommendations are identified and delivered.
• Supporting, analysing and visualising data to understand areas for optimisation and where to prioritise initiatives.
• Demonstrating strong, data-based decision-making skills, especially when multiple trade-offs are involved, and fast decision-making is required.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• Creating powerful data visualisations following Tesco’s best practices.
• Confidently and competently representing the team when needed.
• Understanding the commercial impact of your recommendations and insight.
• Identifying unstructured problems and articulate opportunities to form new analytics project ideas.
• Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks