Data Analyst - Supply Chain at Holland Barrett
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Sep, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Logistics/Procurement

Description

ABOUT DATA AT HOLLAND & BARRETT

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 a Supply Chain Analyst in the Core Business Analytics team, you’ll partner with stakeholders across Supply Chain Planning, Logistics, Commercial, and DC Operations to deliver insights that improve availability, efficiency, and inventory quality. Whether your focus is demand forecasting, network optimisation, or stock accuracy, you’ll play a key role in using data to improve planning and execution across our end-to-end supply chain.

Responsibilities

THE ROLE

What You’ll Do

  • Use data to solve challenges in demand planning, fulfilment, and stock optimisation across Supply Chain and Logistics.
  • Build dashboards in Metabase to track demand, inventory levels, DC throughput, and network efficiency.
  • Write robust SQL to extract and transform data from operational, forecasting, and inventory sources.
  • Deliver ad-hoc analysis on forecast accuracy, inbound flow, and stock availability to support supply decisions.
  • Collaborate across Supply Chain, BI, and Commercial teams to create scalable data products.
  • Contribute to sprint planning and backlog prioritisation within the Supply Chain analytics roadmap.

Location:
This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office.

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 styl
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