At a Glance
- Tasks: Use data analytics to drive insights and improve supply chain processes.
- Company: Join Boots, a leading retailer committed to inclusivity and innovation.
- Benefits: Enjoy flexible benefits, generous discounts, and a supportive work environment.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience with Power Platform, Python, SQL, and data visualisation tools.
The predicted salary is between 30000 - 40000 £ per year.
Welcome to the Supply Chain Continuous Improvement and Data Analytics team. At the heart of all large supply chains is a wealth of data and complex systems. We are a business facing team, sitting alongside our supply colleagues enabling efficiency, democratisation of data and offering expert system support. We achieve this through building tools and reports that support or redefine processes. All our work is underpinned by analytics and end to end system understanding. Data Analysts in this team report into a CI & Data Analytics Manager who in turn reports into the Head of Planning and CI. Day to day we operate as a team of 10, 3 managers, 6 analysts and an Operational Excellence Lead.
Key responsibilities
- Use data analytics to provide insights and drive KPIs
- Understand supply processes to enable continuous improvement
- Supply chain system expert to allow day to day insights and enable correct analytics
- Build reports and tools that simplify supply processes and democratise data
- Collaborate closely with the Data Engineering team
- Build relationships with the wider supply teams we support
- Support existing reports and tools
- Technical documentation
- Create and deliver training material for the use of reports and tools
What you'll need to have (our must-haves)
- Microsoft Power Platform
- Python
- R
- Development Collaboration Software such as Azure DevOps
- Supply chain experience
- SQL
- DAX
- Data visualisation software such as Power Bi and Power Bi Report Builder (or similar)
- Advanced Excel (including index, tables, arrays, power pivot, and logical formulas)
- Visual Basics for Applications (VBA)
It would be great if you also have
- Time Management
- Stakeholder Management
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, MyBoosts - there to give you that little lift in your everyday. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only.
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, so we're committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.
What's next
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis. We hope to hear from you soon. Be brilliant with Boots.
Data Analyst in Nottingham employer: Boots
At Boots, we pride ourselves on being an exceptional employer, particularly for our Data Analysts in Nottingham. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional growth through continuous learning and development. With a comprehensive benefits package that includes flexible working options, generous employee discounts, and a commitment to employee well-being, we ensure that our team members feel valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Boots!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Boots.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Boots.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Boots, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Nottingham
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Boots, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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!
How to prepare for a job interview at Boots
✨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!
✨Showcase Your Projects
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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Boots!
✨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.
