Senior Digital Analyst (Store Checkout Experience)

at  Tesco

About the role
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 Product Analytics and Experimentation team sits within the Digital Product team in Technology function. 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. The Groceries, Clubcard websites and apps, Tesco till, Colleague Apps and the newly launched Clubcard Plus propositions 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.
• Deep dive analysis into key areas of the business
• 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.
• Having great coaching skills and mentor junior colleagues and peers in your team.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• 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.
• Being a champion of digital analytics tools.
• Using big data, business intelligence and data visualisation tools (ideally Hadoop and Tableau).
• 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.
• An interest in managing a small team

• 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.
• Deep dive analysis into key areas of the business
• 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.
• Having great coaching skills and mentor junior colleagues and peers in your team.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• 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