Digital Product Analyst; Adobe Analytics

Position: Digital Product Analyst (Adobe Analytics)

Location: Greater London

We’d all like amazing work to do, and real work‑life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale and we move a lot faster than you’d think across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability.

More people shopping with us each week means more interactions, and thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. If you have a passion to learn, grow and experience new teams, come and explore it all with us.

Digital Product Analyst – Adobe Analytics – Hybrid Working London/Home

Sainsbury’s is a business serving millions of customers every day, supported by the UK’s largest loyalty scheme and a constantly evolving digital ecosystem. With over 1.2 billion transactions each year, our data set is unmatched in scale, depth and complexity. This rich data allows us to build scalable, high‑performance digital products that power exceptional customer experiences. Working in an inclusive and agile environment, you’ll have the freedom to experiment, explore and solve meaningful, real‑world problems and see your work making a difference for millions of customers across the UK.

About

the Role

As a Digital Product Analyst within Sainsbury’s Digital Analytics team, you’ll use data to help our Digital Product and eCommerce teams better understand customer behaviour, optimise experiences and drive value across our Online Groceries journey. Your insights will directly influence some of the most widely used digital products in UK eCommerce, shaping decisions that impact millions of customer interactions each week.

Working alongside cross‑functional product and trading teams, you’ll translate complex data into clear, actionable recommendations, support product discovery and optimisation, and help embed a culture of evidence‑based decision‑making. You’ll be part of our central Data & Analytics function, giving you access to deep expertise, modern tools and a strong peer network to support your development and progression.

In This Role You Will

• Identify opportunities to improve customer satisfaction and value and clearly articulate them to Product Managers and stakeholders.
• Deliver actionable insights that inform product strategy, prioritisation and day‑to‑day decision‑making.
• Quantify the impact of product features and initiatives, highlighting both successes and areas for improvement.
• Define and refine the key metrics that measure product performance and success across our Digital Products.
• Partner with our Digital Analytics Implementation and Data Engineering teams to ensure we reliably capture the right data across our Digital Channels.
• Lead the design of robust experiments (A/B tests), ensuring they are statistically sound and aligned with product objectives.
• Analyse experiment results and translate findings into clear recommendations for Product Teams.
• Build and maintain accessible, actionable reporting that empowers teams to self‑serve insights.

What We’re Looking For

• Ability to communicate complex findings in a clear, simple and compelling way for a wide range of stakeholders.
• Curious, proactive and eager to dig beyond the obvious to uncover meaningful insights.
• Strong stakeholder management and the ability to influence decisions through data‑led storytelling.
• Experience working effectively in cross‑functional teams, collaborating with Product, Engineering, Design and Data partners.
• Confident presenting insights, recommendations and experiment results to both senior and non‑technical audiences.
• Excellent knowledge of Digital Analytics tools such as Adobe Analytics or Google Analytics.
• Solid experience and understanding of Digital Experimentation (A/B testing) and the scientific principles that underpin it.
• Experience with, or willingness to learn, SQL and/or Python for data retrieval and analysis.
• Positive, collaborative attitude with the resilience to embrace change and navigate ambiguity.
• Knowle…