Data Analyst

Reward; London; On-site; GBP 60,000 - 65,000; Full time

Job summary

A leading company specializing in data analytics seeks a Data Analyst in London to join their Consumer Insights team. The role focuses on data extraction and manipulation, employing SQL skills to deliver insights that drive commercial value. Ideal for those with a strong data background and attention to detail, offering a full-time permanent position with a salary range of £60,000 - £65,000.

Qualifications

• 4+ years in a data-heavy role, ideally with transactional datasets.
• Strong SQL expertise and data quality assurance.
• Excellent written communication for technical explanations.

Responsibilities

• Work with large-scale transactional datasets and respond to client technical queries.
• Ensure high data quality and collaborate with internal teams.
• Deliver clean datasets to stakeholders.

Skills

SQL

Analytical thinking

Attention to detail

Education

Background in Data Engineering, Computer Science, Analytics or related discipline

Tools

Python

AWS Athena/S3

Power BI

Advanced Excel

Job description

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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
• Team: Part of the Consumer Insights function

If you love data, precision, and delivering insight that drives commercial value — we’d love to hear from you.

Apply now.

#DataAnalyst #SQLJobs #ConsumerInsights #RemoteJobsUK #TransactionalData #DataDelivery #WomenInTech #RewardPlatform #HiringNow #PowerBI #FintechCareers

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Advertising Services, IT System Data Services, and Data Infrastructure and Analytics

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