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- Tasks: Analyse high-volume POS data to uncover trends and insights that drive business decisions.
- Company: Join SMP Group, a multi-award winning leader in POS and OOH advertising.
- Benefits: Enjoy a competitive salary, 25 days holiday, and a supportive work environment.
- Why this job: Make a real impact by shaping product development and enhancing customer experiences.
- Qualifications: Experience with SQL, BI tools, and a knack for turning data into actionable insights.
- Other info: Be part of a collaborative team focused on sustainability and continuous improvement.
The predicted salary is between 30000 - 40000 ÂŁ per year.
SMP Group is a leading, multi‑award winning producer in POS (Point of Sale) and Out‑of‑Home (OOH) Advertising. We are the trusted partner for some of the world's most recognisable brands and retailers, delivering innovative, high quality print and production solutions. With a rich heritage of excellence and a forward‑thinking approach, we pride ourselves on creativity, technology‑driven manufacturing, and best‑in‑class client service. Sustainability, innovation, and people development are at the heart of our DNA. As a growing and acquisitive business, we have ambitious plans to further enhance our service and operational capabilities.
We are seeking a detail‑oriented and commercially minded Data Analyst to join our Commercial Team. You will work with high‑volume transactional datasets to provide insights that shape product development, commercial strategy, and the customer experience. The ideal candidate understands how data flows through POS systems, can identify meaningful trends in merchant behaviour, and can present clear, actionable insights to cross‑functional teams.
Key Responsibilities- Analyse high‑volume POS transaction data to surface trends, anomalies, and performance indicators
- Build pricing models and dashboards for Product, Sales, and Operations teams using visualisation tools
- Support Client teams with campaign pricing
- Conduct customer segmentation, feature usage analysis, churn risk modelling, and cohort analysis
- Measure the commercial and operational impact of feature releases and enhancements
- Provide insight for pricing and approach to client bids
- Partner with Product Managers to identify feature adoption patterns and opportunities
- Support Customer Success with data‑driven root‑cause analysis and account health monitoring
- Validate and maintain accuracy across multiple data sources (POS system, CRM, product telemetry)
- Previous experience as a Data Analyst working with transactional, SaaS, retail tech, or POS‑related datasets
- Strong SQL skills — ability to query large relational datasets
- Experience with BI tools (Power BI, Looker, Tableau)
- Strong analytical and problem‑solving skills
- Ability to communicate complex findings to non‑technical audiences
- Python or R for advanced analysis
- Familiarity with POS systems, payments data, or merchant analytics
- Experience working in a manufacturing environment
- Empathy: Listen and develop strong respectful relationships through honesty, reliability and accountability expectations
- Collaboration: Works as one team, across roles, disciplines and with our clients to achieve the best outcomes
- Quality & Reliability: Best‑in‑class policies, systems and processes to enhance productivity and service delivery
- Continuous Improvement: Generate fresh ideas and practical solutions that improve how we work and the value we deliver
- Insight‑Led & Results‑Driven: We use insight and expertise to make smart decisions and consistently deliver meaningful results
- Sustainability: We take responsibility for long‑term social, environmental, and economic impact in everything we do
- Competitive Salary
- 25 days holiday
- Company Pension
- Employee Assistance Programme
- Life Insurance
Data Analyst in London employer: SMP Group
Contact Detail:
SMP Group 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 with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving POS systems or retail tech. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tools knowledge. Be ready to discuss how you've used data to drive insights and support business decisions. Practice explaining complex findings in simple terms – it’s key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our values of collaboration and continuous improvement.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with POS systems, SQL skills, and any BI tools you've used. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Be sure to mention any relevant projects or insights you've delivered in the past.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've analysed data to drive decisions or improve processes. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at SMP Group!
How to prepare for a job interview at SMP Group
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data analysis, especially in relation to POS systems. Be ready to discuss specific datasets you've worked with and how you identified trends or anomalies. This will show that you’re not just familiar with data but can also leverage it to drive insights.
✨Showcase Your SQL Skills
Since strong SQL skills are essential for this role, prepare to demonstrate your ability to query large datasets. You might be asked to solve a problem on the spot, so brush up on your SQL queries and be ready to explain your thought process as you work through them.
✨Visualisation is Key
Familiarise yourself with BI tools like Power BI, Looker, or Tableau. Bring examples of dashboards or visualisations you've created in the past. Being able to present complex data in a clear, actionable way will impress the interviewers and align with their focus on client service.
✨Communicate Clearly
Practice explaining your analytical findings to non-technical audiences. The ability to translate complex data insights into understandable terms is crucial. Think of examples where you’ve successfully communicated your findings and be prepared to share those stories during the interview.