Data Analyst

We’re hugely excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast moving, big budget, heaps of autonomy, and a breakaway type of culture that is committed to pushing technical boundaries.

This is a fantastic opportunity for someone who enjoys getting into the detail of data quality, solving complex data challenges, and working closely with both technical and customer-facing teams.

A Typical Day-to-Day

You’ll be working closely with Engineering, Delivery, and Customer Success teams, where no two days are the same - you’ll investigate discrepancies, troubleshoot data issues, and help establish robust quality assurance processes that scale alongside the platform.

Responsibilities will include:

• Owning end-to-end data quality assurance across customer integrations and reporting datasets
• Validating incoming operational, financial, and asset data to ensure consistency and accuracy
• Investigating data discrepancies and working with Engineering teams to implement solutions
• Writing and executing SQL queries to support data analysis, validation, and troubleshooting
• Developing and maintaining data quality frameworks, controls, and monitoring processes

• 3+ years’ experience in a Data Analyst position, ideally within a SaaS, technology, or enterprise data environment
• Strong SQL skills and experience writing complex queries
• Experience performing data validation, quality assurance, and root cause analysis
• A solid understanding of financial data and the importance of data accuracy

Nice to Haves

Whilst not essential, experience in any of the following would be highly advantageous:

• Data integration, ETL processes, and API-driven data workflows

You’ll gain exposure to complex data challenges, work closely with multiple business functions, and have the chance to make a genuine impact on both product performance and customer success.