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. 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 #LI-Hybrid #LI-CM1 Vacancy Alerts Create an alert subscription based on this vacancy
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