Lead Digital Analyst

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 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.
You will be responsible for

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business (you’ll likely be working on some of the newest innovations in the 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.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• 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.
• 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.

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.
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.
• 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.
• Online visitor segmentation and statistical modelling techniques.
• Advanced online data collection.
• Thinking at a conceptual level across a number of platforms and channels.

• 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.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• 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.
• 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