Data Analyst - Warehouse Planning

Boots UK
Nottingham, United Kingdom
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Nottingham, United Kingdom

Tech stack

Microsoft Excel
Data analysis
Big Data
Data Intelligence
Operational Data Store
Power BI
Standard Sql
SAP Supply Chain Management (SCM)
Warehouse Management Systems

Job description

You'll join our Warehouse Planning team as the dedicated Data Analyst, working at the heart of our retail supply chain. You will turn operational data into insight that helps the warehouse run smoothly and safely.

You'll report to the Warehouse Planning Manager and work with the Warehouse Operations, Retail Supply, Retail Analytics and Planning teams. You will have no direct reports but will be the data expert for the warehouse., Develop Power BI dashboards that support daily decision-making across the warehouse.

  • Analyse operational performance data and metric to identify trends and improve.
  • Help implement new replenishment systems, ensuring data accuracy, testing logic and supporting rollout.
  • Provide data insight for major warehouse projects, including range and space expansion, layout changes and operational downtime planning.
  • Monitor daily KPIs and highlight issues early to minimise disruption to service levels.
  • Work with operational teams to understand challenges and translate them into data-driven solutions.
  • Improve data quality by identifying gaps, inconsistencies and process issues which should reduce manual tasks., You will give you hands-on experience with the data that inspires a modern retail supply chain. From here, you could progress into:
  • Data Analyst roles across the wider retail business (Operations, Supply Chain or Commercial)
  • Retail Supply Chain & Planning roles
  • Continuous Improvement or Operational Excellence roles

You'll work on projects that directly shape how the warehouse operates, giving you a platform for both data-focused and operational career paths.

Requirements

Analytical skills with experience working with logistics and supply chain data.

  • Confident using Power BI to build dashboards, reports and data models.
  • Good Excel skills and the ability to work with large datasets.
  • Ability to interpret data and communicate findings to the wider business., Advanced Power BI experience, including DAX, data modelling or automation.
  • Experience in retail, logistics, supply chain or warehouse operations.
  • Knowledge of SQL or other data-querying tools.
  • Experience supporting system implementations or process automation.
  • Understanding of replenishment logic, inventory management or warehouse management systems.
  • Exposure to continuous improvement methodologies (Lean, Six Sigma).

Benefits & conditions

Pulled from the full job description

  • Employee discount
  • Employee assistance programme
  • Discounted gym membership, * Discretionary annual bonus
  • Generous employee discounts
  • Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
  • Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
  • Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

There's lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only. Please note that any salary estimates provided on third-party sites are not endorsed by Boots and may not be accurate.

About the company

At Boots, we're proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported and free to be themselves. We believe that when our people feel valued and included, they thrive. We're committed to creating a brilliant Boots for our people, so they can make a difference for our customers and colleagues every time.

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