Data Analyst | SQL Expert | Consumer Insights | London
At Reward, data is at the heart of everything we do. We work with global partners like Visa and Experian, analysing billions of transactions to deliver insight-led decisions that shape the future of retail, banking, and loyalty.
We’re looking for a Data Analyst with strong SQL skills and attention to detail to join our Consumer Insights team. This is a hands-on, data delivery role where you’ll take client briefs and transform them into actionable data — extracting, cleaning, and preparing complex datasets that guide real-world commercial decisions.
What you’ll do:
- Work with large-scale transactional and spend datasets
- Use SQL to extract, manipulate, and prepare client-specific data deliverables
- Deliver insight in the form of clean, spec-driven datasets to internal and external stakeholders
- Respond to client technical queries via email (no live calls or presentations)
- Collaborate with internal teams including Data Engineering, Product, and Partnerships
- Ensure high standards of data quality, accuracy, and consistency
- Use automation and creative problem-solving to streamline regular tasks
- Contribute to prototypes for new data products or client reporting dashboards
What we're looking for:
- 4+ years in a data-heavy role, ideally within transactional, loyalty, or spend-based datasets
- Strong SQL expertise — confident in querying, shaping, and quality-checking large volumes of data
- Comfortable in a business-as-usual delivery role, working from clear project briefs
- Analytical and methodical mindset with a strong eye for detail
- Excellent written communication, especially in technical explanations
- Bonus if you bring: Python, AWS Athena/S3, Power BI, or advanced Excel
- Background in Data Engineering, Computer Science, Analytics or related discipline
Who might thrive in this role?
We welcome applicants from all backgrounds — especially those seeking a steady, flexible role with purpose and structure. If you're a returner or looking to re-enter the workforce in a technical, non-client-facing capacity, this could be a perfect fit.
The Details:
- Role: Data Analyst
- Type: Full-time, permanent
- Client interaction: None live, just technical queries via email
- Team: Part of the Consumer Insights function
- Tools: SQL Server, AWS Athena, Excel, Power BI, Python (desirable)
If you love data, precision, and delivering insight that drives commercial value — we’d love to hear from you.
Apply now.
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