Overview
Senior Data Analytics Manager - Commercial Operations at Holland & Barrett (H&B). We aim to empower healthier, happier lives and are Europe\'s largest health & wellness retailer. Our Analytics organisation includes 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. You will lead the Commercial (Ops) analytics vertical, covering pricing, promotions, stock exit, and operational performance, managing a team of analysts and partnering with stakeholders in Trading, Pricing, Commercial Ops, and Supply Chain.
What You’ll Do
* Lead the analytics roadmap for Commercial Operations across pricing, stock exit, margin performance, and trading analytics.
* Manage, coach, and develop a team of Commercial Analysts (mid and senior levels).
* Partner with stakeholders across Trading, Pricing, Commercial Ops, and Supply Chain to shape priorities and drive impact through data.
* Ensure delivery of dashboards and tools in Metabase that enable better decision-making on pricing, promotions, and markdowns.
* Own planning and prioritisation across analytics workstreams, coordinating delivery with the BI and Data Engineering teams.
* Guide deep-dive analysis into pricing performance, margin impact, and stock clearance effectiveness.
* Ensure high standards in analytics output, including documentation, scalability, and reproducibility.
* Influence strategy by embedding data in key commercial forums and decision cycles.
* Champion the use of data across the commercial org, raising data literacy and coaching stakeholders on how to use insights.
* Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool.
What We’re Looking For
* Leadership: Proven ability to lead and grow a team of analysts, building a culture of delivery, curiosity, and collaboration.
* Commercial analytics expertise: Deep understanding of trading, pricing, margin, and product lifecycle in a retail context.
* Stakeholder influence: Trusted partner to Heads of Trading, Pricing, and Commercial 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).
* Visualization skills: Designs clean, usable dashboards in Metabase (or experience with Tableau, Looker, PowerBI).
* Communication: Able to present complex insights clearly and credibly at all levels, from squad to exec forums.
* Collaboration: Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions.
* Education & Experience: Degree in a quantitative field (Mathematics, Economics, Statistics, Engineering) and 6+ years of analytics experience—2–4 years in a team management or senior stakeholder-facing role, ideally in a retail or commercial operations context.
Location
This role is based in Nuneaton and requires occasional travel to other Holland & Barrett locations. We support hybrid working with a minimum of 2 days in the office.
Wellbeing & Lifestyle Benefits
* Health Cash Plan
* Life Assurance
* Incentive Scheme
* Virtual GP
* Private Medical
* Free at-home blood test kit
* 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 are committed to a diverse and inclusive workplace and to EPIC values (Expertise, Pioneering, Inclusive, Caring). Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Our selection process includes a coding assessment, role-specific questions, an interview, a case study, a follow-up review, and conversations with team members to assess fit.
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