At a Glance
- Tasks: Analyse retail data to uncover insights and optimise store performance.
- Company: Join Stellar Global, a dynamic company at the forefront of retail analytics.
- Benefits: Enjoy a competitive salary, hybrid working, and a bonus scheme.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact by turning data into actionable recommendations for brands.
- Qualifications: Experience in data analysis, especially in retail or FMCG, is essential.
The predicted salary is between 43000 - 77000 £ per year.
Are you passionate about analytics, figures and reporting? If so, we have good news. Stellar Global is now recruiting for experienced Retail Data Analysts to work hybrid (2 days at our Head office, London Bridge area and 3 days from home).
Overall purpose of the role: This role is central to understanding and improving store performance for our clients — analysing sales data, identifying trends, and uncovering insights that help optimise supported stores versus control groups and the wider estate. The right person will have a sharp analytical mind, a love for uncovering what drives performance, and the communication skills to turn data into compelling, actionable recommendations that fuel brand success.
Key Accountabilities:
- Achieve KPIs and grow Stellar GP such as adopting a commercial focus across your accounts to exceed KPIs & company GP targets.
- Identify opportunities to increase revenue & GP with existing and new clients.
- Support client teams with projects, events and ad-hoc requests such as events and new initiatives.
- Analyse and interpret sales and market data: collect, clean, and interpret store-level data from multiple sources — including POS systems, client reports, and retail activations.
- Use data to reveal performance trends, patterns in shopper behaviour etc.
- Measure & enhance the impact of retail experience programmes, turning complex data into clear commercial insights.
- Create dynamic dashboards and visualisations using tools like Power BI, Google Looker Studios, Big Query or Excel/Google Sheets.
- Build successful client relationships.
- Work collaboratively, partnering with Stellar and client teams to ensure insights are applied in live campaigns. Support storytelling with data, contributing to pitch materials, campaign evaluations, and business reviews.
- Work with the guidance of GDPR & data experts.
- Achieve Stellar values: Own It, Work Smart, Be Can Do and Stay Curious.
Personal Specification (knowledge/experience):
- Proven experience as a Data Analyst (ideally within retail, FMCG, or agency environments).
- Knowledge of retail analytics, sales forecasting, or shopper behaviour modelling.
- Strong analytical and problem-solving skills with proficiency in Excel/Google Sheets, Power BI, Google Looker Studios, Big Query or similar tools.
- Ability to extract and interpret insights from large, complex datasets.
- Experience comparing and evaluating control vs. test groups.
- Strong commercial awareness — able to translate data into clear business recommendations.
- Excellent communication and presentation skills.
- Attention to detail with a drive for continuous improvement.
- A positive thinking, self-driven, results-oriented individual.
- Able to adapt to change in a calm and professional manner.
- Organised and able to manage workload to achieve deadlines and client expectations.
- Resourceful, and problem-solving approach with a collaborative mindset.
- A passion for technology and innovation would be an advantage.
What do we offer:
- Annual salary £50k-£55k DOE.
- Perm contract hours, Mon-Fri, 9am-5.30pm.
- Company bonus scheme & benefits.
- Hybrid working - 2 days/week in the office (London, SE1) & 3 days at home.
- Role will cover multiple brands: in Curry's (2.5 days/week) and other Stellar clients (2.5 days/week).
Retail Data Analyst in London employer: Stellar Global Ltd
Stellar Global is an exceptional employer that values analytical talent and fosters a collaborative work culture. With a hybrid working model, employees enjoy the flexibility of working from home while being part of a dynamic team at our London Bridge office. We offer competitive salaries, a company bonus scheme, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the retail analytics space.
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We think this is how you could land Retail Data Analyst in London
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We think you need these skills to ace Retail Data Analyst 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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✨Brush Up on Your Statistics
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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.
