At a Glance
- Tasks: Analyse data to optimise supply chain and logistics performance.
- Company: Dynamic retail company focused on innovation and inclusivity.
- Benefits: Competitive daily rate, flexible remote work, and a collaborative environment.
- Other info: Join a diverse team committed to continuous improvement and innovation.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis, SQL, and strong communication skills.
The predicted salary is between 65250 - 79750 £ per year.
£500-550/day overall assignment rate to umbrella
6-month contract
Flexibility on remote working
Looking for a Supply Chain & Logistics Data Analyst. Data is playing an increasingly important role across operations, helping to optimise performance, improve efficiency and support smarter decision-making across supply chain and logistics.
In this role, you'll work closely with stakeholders to understand real business challenges, translate them into analytical problems, and deliver insight that drives measurable impact. Whether that's improving availability, optimising stock flow or enhancing operational efficiency.
Key skills:
- Use data to uncover insights that drive better business decisions and improve supply chain and logistics performance
- Translate complex datasets into clear, compelling stories and actionable recommendations for operational stakeholders
- Partner closely with Supply Chain, Logistics and Commercial teams to understand challenges and support decision-making
- Tackle a wide range of problems, from performance optimisation to understanding availability drivers
- Deliver deep-dive analysis, highlighting risks, opportunities and areas for continuous improvement
- Build strong relationships with stakeholders, influencing and supporting decision-making at all levels
- Work collaboratively with analysts and data scientists to deliver scalable and impactful analytical solutions
- Contribute to a culture of continuous improvement, innovation and data-driven thinking across supply chain and logistics
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Analyst - retail in London employer: Sanderson Careers
Join a forward-thinking company that values innovation and collaboration, offering a fully remote role as a Technical Architect. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor junior colleagues, all while contributing to impactful digital solutions. Our inclusive work culture fosters creativity and teamwork, making it an excellent environment for professionals looking to make a meaningful difference in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - retail in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Sanderson Careers before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sanderson Careers.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Sanderson Careers.
We think you need these skills to ace Data Analyst - retail in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sanderson Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sanderson Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sanderson Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sanderson Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sanderson Careers.
