Data Analyst

Reward; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Reward is seeking a Data Analyst in London to work with global partners like Visa and Experian. This role requires strong SQL skills and a methodical approach to transform client briefs into actionable insights. You'll participate in high-quality data delivery, supporting commercial decisions across various sectors. Excellent communication skills and a background in data-related fields are essential for success in this hands-on position.

Qualifications

• 4+ years in a data-heavy role.
• Strong SQL expertise.
• Background in Data Engineering or related discipline.

Responsibilities

• Extract, clean, and prepare complex datasets for client briefs.
• Deliver clean datasets to stakeholders.
• Ensure data quality and consistency.

Skills

SQL

Analytical mindset

Attention to detail

Communication

Education

Degree in Data Engineering, Computer Science, or Analytics

Tools

SQL Server

AWS Athena

Excel

Power BI

Python

Job description

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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