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For Companies At a Glance
- Tasks: Analyse sales data and uncover insights to 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.
- Why this job: Make a real impact by turning data into actionable recommendations for brands.
- Qualifications: Experience as a Data Analyst with strong analytical and communication skills.
- Other info: Collaborative environment with opportunities for growth and innovation.
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 an experienced Data Analyst 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 - 37.5 hours, Mon-Fri, 9am-5.30pm.
- Company bonus scheme & benefits.
- Hybrid working - 2 days/week in the office (1 Newhams' Row, London, SE1 3UZ) & 3 days at home.
- Role will cover multiple brands in Curry's (2.5 days/week) and other Stellar clients (2.5 days/week).
Data Analyst in London employer: Stellar Global Ltd
Contact Detail:
Stellar Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable explaining your analytical process and how you've turned data into actionable insights in past roles. We want you to shine!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few case studies or projects that highlight your ability to analyse data and present findings. This will give potential employers a taste of what you can do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for analytics shine through! We want to see how much you love diving into data and uncovering insights that drive performance. Share specific examples of your past experiences that highlight this passion.
Tailor Your Application: Make sure to customise your application to match the job description. Highlight your experience with tools like Power BI or Excel, and mention any relevant projects you've worked on. This shows us that you understand what we're looking for and that you're a great fit for the role.
Be Clear and Concise: We appreciate clarity in applications! Use straightforward language and avoid jargon where possible. Make your points easy to digest, as we want to quickly grasp your skills and experiences without wading through unnecessary fluff.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both you and us!
How to prepare for a job interview at Stellar Global Ltd
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Power BI and Google Looker Studios. Be ready to discuss how you've used these tools in past roles to analyse data and create visualisations.
✨Showcase Your Analytical Mindset
Prepare examples of how you've identified trends or insights from data in previous positions. Think about specific instances where your analysis led to actionable recommendations that improved performance.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You might be asked to present a case study or example during the interview, so ensure you can articulate your thought process and findings effectively.
✨Demonstrate Commercial Awareness
Be prepared to discuss how your analytical skills can drive business success. Think about how you can translate data into commercial recommendations and be ready to share ideas on increasing revenue for clients.
