Product Analytics Manager

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.

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.
• Health Cash Plan
• Life Assurance
• Incentive Scheme
• Virtual GP
• Private Medical
• Holiday Purchase option
• Pension Contribution
• Access to 'Wellhub' with gyms, studios and wellbeing apps

Discounts & Savings

• 25% Colleague Discount with FREE Next Day Delivery
• Exclusive Discounts from a wide range of partners
• £/€50 Annual Product Allowance to spend in store

Learning & Development

• Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library
• AND MORE!

We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to having a diverse and inclusive workplace. In line with our EPIC values (Expertise, Pioneering, Inclusive, Caring), we embrace and actively celebrate all our colleagues' unique and varying experiences, backgrounds, identities and cultures - I am me, we are H&B.

Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s).

Our Recruitment Process:

Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:

• A short Coderbyte assessment to evaluate core technical and analytical skills
• Role-specific questions to understand your approach to relevant challenges
• An interview with the Hiring Manager to explore your experience and motivations
• A case study to demonstrate problem-solving and strategic thinking
• A follow-up review to delve deeper into your insights and approach
• Short conversations with team members to assess team fit and working style

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