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- Tasks: Lead product analytics for website, mobile app, and in-store platforms.
- Company: Join Holland & Barrett, Europe's largest health & wellness retailer.
- Benefits: Competitive salary, career growth, and a chance to impact wellness globally.
- Why this job: Shape the future of health & wellness through data-driven insights.
- Qualifications: Degree in a quantitative field and 6+ years in analytics, with team management experience.
- Other info: Be part of a transformative journey in health & wellness.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
Responsibilities
- 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.
- 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.
Qualifications
- 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.
- 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.
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Product Analytics Manager employer: Holland & Barrett
Contact Detail:
Holland & Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Holland & Barrett. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytics work. When you get that interview, having tangible examples will make you stand out.
✨Tip Number 3
Be ready to discuss data-driven decisions. Brush up on e-commerce KPIs and how you've used data to influence product strategies. This is key for the Product Analytics Manager role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Holland & Barrett team.
We think you need these skills to ace Product Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Product Analytics Manager role. Highlight your experience in analytics, team management, and any relevant technical skills. We want to see how your background aligns with our goals at Holland & Barrett!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health and wellness, and how your skills can help us empower others. Be sure to mention specific projects or achievements that relate to the role.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention any tools you’ve used, like SQL or Metabase, and provide examples of how you've used data to drive decisions. We love seeing how you can turn insights into action!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Holland & Barrett
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the key metrics and KPIs relevant to product analytics. Brush up on your knowledge of ecommerce performance indicators, user journeys, and A/B testing frameworks. This will help you speak confidently about how you can leverage data to drive decisions at Holland & Barrett.
✨Showcase Your Leadership Skills
As a Product Analytics Manager, you'll be leading a team. Prepare examples of how you've successfully managed and developed teams in the past. Highlight your ability to foster a culture of curiosity and collaboration, as well as how you've influenced stakeholders with data-driven insights.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, like SQL, Metabase, and any other BI tools. Be ready to discuss your experience with these technologies and how you've used them to create impactful dashboards or decision-support tools in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or improve existing processes. Think about how you would approach analytics challenges at Holland & Barrett, such as optimising user journeys or enhancing product features based on data insights. This will show your strategic thinking and problem-solving skills.