Product Analytics Manager

About Data at Holland & Barrett

Analytics Manager – Product Analytics 

Work on the inside of one of Europe's biggest health & wellness transformations. Lead a high-performing analytics function that powers product development, customer journeys, and digital experience across Holland & Barrett's digital platforms. 

About the Role 

At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide.  Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals.  As Analytics Manager in the Omnichannel Analytics team, you will lead the Product analytics vertical—covering Website, Mobile App & retail apps performance. You'll manage a team of analysts, set the direction for how data is used across product & tech, and partner closely with product & engineering managers in the product organisation  

This is a hybrid role, with 2 days per week expected in our Nuneaton office. 

The Role

What You'll Do 

• Lead the analytics roadmap for product analytics across the website, mobile app, and in-store digital platforms. 
• Manage, coach, and develop a team of mid and senior-level product analysts, with a focus on quality, impact, and career growth. 
• Review and elevate analysts' work, ensuring insights are robust, actionable, and aligned with business goals. 
• Partner with Product, Tech, UX, and Marketing to shape priorities and maximise the impact of data-driven decisions. 
• Define and track success metrics for product features, user journeys, and releases across digital touchpoints. 
• Lead analytics for squads focused on core digital journeys, enabling experimentation, feature optimisation, and UX improvements. 
• Oversee delivery of decision-support tools and dashboards in Metabase for A/B testing, UX/UI evaluation, and performance monitoring. 
• Own planning and prioritisation across analytics workstreams, coordinating closely with BI and Data Engineering. 
• Uphold high standards for analytics output—focusing on clarity, documentation, scalability, and reproducibility. 
• Embed insights into key product and tech forums, influencing strategic direction and performance outcomes. 
• Leverage a modern data stack including Redshift, BigQuery, Matillion, and Retool to drive efficiency and depth in analytics. 

The Person

What We're Looking For 

• Leadership: Proven ability to lead and develop analytics teams, fostering a culture of curiosity, collaboration, and high-impact delivery. 
• Embedded analytics: Excels in embedding analysts within product teams, enabling close stakeholder collaboration and driving continuous improvement through data-led decision-making. 
• Digital product insight: Strong grasp of ecommerce KPIs, journey health, experimentation frameworks, and UX optimisation. 
• Stakeholder influence: Trusted partner to Heads of Product, Product Managers, and Engineering Managers—skilled at shaping roadmaps with data. 
• Ops; able to translate business needs into analytical strategy. 
• Delivery ownership: Comfortable managing multiple workstreams, aligning resources, and delivering through others. 
• Technical understanding: Strong SQL fluency and experience overseeing analytics products built in Metabase or equivalent BI tools (Tableau, Power BI, Looker) 
• Communication: Able to distil complex analyses into business-relevant insights and present them credibly across all levels, from squads to exec forums. 
• Visualisation: Builds well-structured dashboards in Metabase or similar tools that support ongoing decision-making. 
• Team contribution: Mentors peers, drives best practice adoption, and contributes to analytics capability development. 
• Collaboration: Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions. 
• Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics—at least 2–4 years in a team management or senior stakeholder-facing role, ideally in a product operations context. 

Benefits