Lead Digital Analyst

Tesco UK; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Flexible working

Job summary

Based in London or Welwyn Garden City with flexible working, join a world-class data environment and help drive an ambitious roadmap across digital products affecting millions of customers.

Qualifications

• Several years of experience in analytics positions.
• University degree of 2:1 or higher in a quantitative discipline or relevant experience.
• Advanced use of digital analytics tools.
• Strong understanding of generative AI models and Agentic AI.
• Online visitor segmentation and statistical modelling techniques.
• Advanced online data collection.
• Excellent verbal and written communication skills.
• High level of commercial awareness.
• Ability to influence without authority.

Responsibilities

• Own relationships with product managers, UX leads and Data Science Managers to define objectives, set targets and validate hypotheses.
• Execute end-to-end analysis: gather requirements, define success metrics, identify data sources, deliver insights and present recommendations.
• Lead as the team expert on digital and product analytics and promote best practices across the business.
• Drive AI adoption within the team and guide use of AI to improve efficiency.
• Use multi-source data to identify trends, expose opportunities and answer business questions.
• Mentor and train others, delivering structured training to upskill the team.

Skills

Data analytics

(statistical) modelling

Online visitor segmentation

Big data tools

Generative AI

Agentic AI

Communication

Commercial awareness

Education

University degree in a quantitative discipline (2:1 or higher)

Tools

Data visualization

Job description

The Product Analytics and Experimentation team sits within the Data, Analytics and AI 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.

The position can be based either in our Digital Innovation Centre in Farringdon, London, or in our head office in Welwyn Garden City, with some occasional travel to the other office required. In line with our values, we strongly embrace flexible working options.

This role is the thought-leader designing and executing the digital analytics strategy for our instant grocery delivery proposition: Whoosh. Working closely with Product Managers you’ll enhance the customer’s digital experience, growing customer engagement, conversion and long-term value while helping drive the proposition’s continued success.

Key responsibilities:

• Owning relationships with product managers, UX leads and Data Science Managers, 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.
• Being the lead team expert on digital and product analytics, and ensuring that you drive best practice within the team. Being a central point of contact for best practice and excellence in your specialist subject around the wider business.
• Driving AI adoption within the team, including guiding the team on how we can use AI to drive efficient ways of working.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• Guiding, training and mentoring others. Developing and delivering structured training to the team to assist in upskilling.
• Using models, advanced analytics and statistical techniques to serve the purpose of the business, making recommendations to improve customer experience and business results.
• Proactively identifying data quality improvements that increase the performance and accuracy of KPIs and analysis.
• Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks)
• Following our Business Code of Conduct and always acting with integrity and due diligence.
• This role will best suit an individual who enjoys working as part of a team, is well organised, pragmatic and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our customers first.
• 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.
• Several years of experience in analytics positions.
• University degree of 2:1 or higher in a quantitative discipline or relevant experience
• A high level of commercial awareness.
• Managing change in a dynamic environment.
• Advanced use of digital analytics tools.
• Using big data and data visualisation tools.
• Expert level data analysis skillset.
• Strong understanding of generative AI models and Agentic AI.
• Online visitor segmentation and statistical modelling techniques.
• Advanced online data collection.
• Thinking at a conceptual level across a number of platforms and channels.

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.

You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, for more information.