WHAT YOU BRING TO THIS ROLE

To succeed in this role, you’ll bring a mix of technical expertise, strong communication skills, and a hands-on, problem-solving mindset.

• Deep experience in data analytics, application support, or similar roles
• Expertise in SQL, with the ability to hold your own in technical conversations
• Experience using or supporting enterprise data tools - like Collibra and Informatica (preferred)
• Strong grasp of data quality, governance, and metadata management principles
• Experience managing or configuring enterprise data applications
• Clear communication skills — able to translate complex data issues into plain language
• Proactive, hands-on, and comfortable working with ambiguity in a changing environment
• A collaborative approach — you work well across data, engineering, and business teams

WHY THIS ROLE MATTERS

Data is a strategic priority for the business, and the momentum behind it is real. You’ll help shape the way data is defined, governed, and used across a complex organisation — bringing clarity where there’s confusion, and structure where there’s noise.

This is a greenfield environment with strong executive backing and real momentum behind data and AI. You’ll work closely with engineers, data stewards, and business teams to drive integrity, Identify and remediate data quality issues, and ensure the business can confidently trust and use its data. Key areas of this role include:

• Configure and manage Collibra, embedding best practices and driving adoption across teams
• Conduct data profiling to identify and resolve quality issues such as duplication and missing values
• Define and implement data quality benchmarks, monitoring processes, and audits
• Write complex SQL queries for validation, transformation, and analysis
• Investigate and resolve root causes of data issues in collaboration with engineers and data owners
• Support the development and continuous improvement of business-critical data products
• Define and document data definitions, rules, and quality thresholds with stakeholders
• Contribute to the evolution of data governance frameworks and maintain clear, accessible documentatio