At a Glance
- Tasks: Analyse data to drive performance improvements for major UK retailers and suppliers.
- Company: Retail Impact, a leading data analytics firm in the fresh food sector.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team and build valuable relationships with top retailers.
- Why this job: Make a real impact on the retail industry while developing your analytical skills.
- Qualifications: Strong analytical skills and a passion for data-driven decision-making.
The predicted salary is between 30000 - 36000 £ per year.
Category Analyst
Retail Impact is a specialist data analytics company supporting fresh food suppliers and major supermarket chains across the UK.
We help our partners optimise their supply chain and commercial operations through insight-led decision-making.
We are looking for a Category Analyst to play a key role in working with some of the UK’s biggest retailers and supply chains, driving performance improvements across product ranges, store execution, and supplier engagement.
Key Responsibilities
- Data Analytics & Category Management
- Conduct KPI performance reviews, including base-level and historical performance analysis.
- Deliver enhanced reactive and proactive volume planning.
- Lead range reviews that deliver value for consumers, retailers, and suppliers.
- Carry out pack size, sustainability, product life, and rate-of-sale suitability assessments.
- Analyse store-level performance, including space allocation, replenishment cycles, and rate-of-sale patterns.
- Evaluate order profile accuracy and assess fit-for-sales.
- Manage new line set-ups and provide post-implementation insights.
- Complete distribution assessments and support short- and long-term range review initiatives.
- Deliver range cube analysis, segmentation, and clustering reviews.
- Provide planogram analysis, recommendations, and implementation support.
- Provide best-practice guidance and support to new internal colleagues.
- Supplier Service
- Facilitate regular category performance reviews with suppliers and retailer partners.
- Offer supplier product performance insight and strategic recommendations.
- Conduct region, format, and store-specific analysis.
- Review seasonality behaviour and support seasonal implementation planning.
- Evaluate promotional performance, including halo and victim impacts.
- Assess secondary space implementation and its impact on category performance.
- Business Development & Stakeholder Management
- Manage category management relationships across supermarkets and fresh food suppliers.
- Build strong, trusted partnerships with retailers—becoming their go-to source for impartial, actionable advice.
- Act as a key liaison between supplier sites and retailer stakeholders.
- Demonstrate value by identifying and delivering opportunities that optimise category performance.
- Upsell within the existing client base and support the development of new business opportunities.
- Identify and pursue opportunities to engage and onboard new clients.
Category Analyst employer: Retail Impact Ltd
Retail Impact is an exceptional employer, offering a dynamic work environment where data-driven insights shape the future of fresh food supply chains across the UK. With a strong focus on employee growth and development, we provide opportunities for our team members to enhance their skills while collaborating with some of the largest retailers in the industry. Our culture promotes innovation and teamwork, ensuring that every employee feels valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Category Analyst
✨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 Retail Impact Ltd!
✨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 Category Analyst at Retail Impact Ltd.
✨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 Retail Impact Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Category Analyst at Retail Impact Ltd, 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 Category Analyst
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 Retail Impact Ltd, 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 Retail Impact Ltd. 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 Retail Impact Ltd
✨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 Retail Impact Ltd!
✨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.
