Supply Chain Analyst - Demand Planning

HOLLAND AND BARRETT; London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading health and wellness retailer in London seeks a Supply Chain Analyst to deliver insights for inventory quality and efficiency. The role involves using data for demand forecasting and building dashboards in tools like Metabase. Candidates should have strong SQL skills and relevant experience in data analytics, aiming to optimize supply chain processes. A hybrid work model is in place, with competitive benefits including career progression and discounts.

Benefits

Technology Incentive Scheme

Learning and Development opportunities

Career progression

Pension company contribution

28 or 33 Days Holiday

Refer and Earn Scheme

Discounted Products

Free 24/7 Confidential Advice

Mental Health First Aiders

Employee Reward and Recognition Schemes

Qualifications

• 2-4 years of experience in a data or analytics role, preferably in supply chain, retail operations, or forecasting.

Responsibilities

• Use data to solve challenges in demand planning and stock optimisation.
• Build dashboards to track demand and efficiency.
• Write SQL to extract and transform data.
• Deliver analysis on forecast accuracy and stock availability.
• Collaborate with Supply Chain and Commercial teams.

Skills

SQL proficiency

Supply chain awareness

Communication

Delivery ownership

Visualisation skills

Collaborative mindset

Education

Degree in a quantitative field such as Mathematics, Statistics, Engineering, or Supply Chain

Tools

Metabase

Tableau

Looker

PowerBI

Job 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.

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.

The Person

• SQL proficiency: Comfortable querying, joining, and transforming large datasets from operations, inventory, and supply planning sources.
• Supply chain awareness: Familiar with concepts like demand forecasting, DC operations, inbound flow, stock availability, and network planning.
• Communication: Able to translate operational data into insight that's usable by planners, logistics, and commercial teams.
• Delivery ownership: Manages projects or tasks reliably through agile delivery cycles.
• Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI).
• Collaborative mindset: Works well in cross-functional environments and contributes to team delivery.
• Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Engineering, or Supply Chain, and 2-4 years of experience in a data or analytics role-preferably in supply chain, retail operations, or forecasting.

Benefits

Technology Incentive Scheme - we offer different bonus schemes for all grades in Technology, starting at 10%.

Learning and Development opportunity with Holland & Barrett is a great base for career development long term.

Career progression

Pension company contribution

Your wellbeing is paramount so you can get away and take 28 or 33 Days Holiday per year.

Refer and Earn Scheme - as we're growing you can earn money by referring people to join us from your network.

Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers.

Stay healthy with Discounted Products - from day one you'll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy.

We all need a little help sometimes, so we offer Free 24/7 Confidential Advice & Colleague Welfare.

Mental Health First Aiders - we have lots of qualified Mental Health First Aiders because its all about your health & wellbeing.

We have colleague Reward and Recognition Schemes, so your hard work and loyalty won't go unnoticed.

And many more!

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

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