At a Glance
- Tasks: Transform data into insights to optimise our warehouse operations and support major projects.
- Company: Join Boots, a leading retail company committed to inclusivity and innovation.
- Benefits: Enjoy competitive pay, generous discounts, flexible benefits, and 24/7 support.
- Other info: Opportunities for career growth in various retail and operational roles.
- Why this job: Gain hands-on experience in data analysis within a dynamic retail supply chain environment.
- Qualifications: Strong analytical skills and experience with Power BI and logistics data.
The predicted salary is between 31500 - 38500 £ per year.
- Data Analyst - Warehouse Planning
- 12 month FTC
- Nottingham - Full time - Onsite
- What you'll be doing
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.
Key responsibilities
- 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.
- What you'll need to have (our must-haves)
- 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.
- It would be great if you also have
- 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).
- Where your brilliance can take you
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
- Rewards designed for you
- Boots Retirement Savings Plan
- 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, My Boosts - 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.
A bit about us
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.
Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case‑based basis.
Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check.
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Data Analyst – Warehouse Planning in London employer: Boots
Boots is an exceptional employer, offering a vibrant work culture in Glasgow where you can thrive as a Wellness Solutions Advisor. With comprehensive training and opportunities to complete a Healthcare Training Programme, you'll be empowered to grow your skills while making a meaningful impact on customers' health and wellness journeys. Join a supportive team that values your contributions and fosters personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – Warehouse Planning in London
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We think you need these skills to ace Data Analyst – Warehouse Planning in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Boots. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
