Data Quality Analyst

We are seeking a Data Quality Analyst to help design and implement Octus’s first standardised data quality framework, ensuring consistency, reliability, and trust across all analytical and client-facing datasets. This role is highly hands-on and sits at the intersection of data quality, data operation, and data governance. You will partner closely with the data operation team, dataset owners and engineers to define quality standards, implement automated checks, and embed data quality into our modern data stack.

This is a game-changing opportunity to seize the reins and define the future of data integrity driving how data quality is not just measured, but aggressively enforced and scaled across the entire organisation.

This position is based in our London office, operating on a hybrid schedule (3 days in office per week).

Responsibilities

Data Quality Framework & Standards

• Design and implement a scalable data quality framework covering accuracy, completeness, timeliness, and consistency across datasets
• Define reusable data quality patterns and testing approaches aligned with business requirements
• Help establish prescriptive standards for data modeling, transformations, and ingestion

Automation & Testing

• Build and maintain automated data quality checks using SQL, dbt tests, and/or similar frameworks
• Implement business rule validations, anomaly detection, and functional data tests
• Embed quality checks directly into transformation pipelines and CI/CD workflows

Collaboration & Enablement

• Partner with Dataset Owners to define dataset-specific quality expectations
• Support adoption of data quality tooling, best practices, and documentation across teams
• Act as a subject-matter expert for data quality within the data operations ecosystem

Monitoring, Incident Management & Reporting

• Identify, triage, and help resolve data quality issues across pipelines and downstream consumers
• Contribute to data quality monitoring dashboards and reporting
• Support root-cause analysis and preventative improvements

Documentation

• Document data quality standards, testing approaches, and framework usage
• Contribute to internal enablement materials and best-practice guides

Requirements

• Strong hands-on experience with SQL
• Experience working with dbt or similar transformation/testing frameworks
• Proficiency with Git and collaborative development workflows
• Experience designing or implementing data quality checks, validations, or testing frameworks
• Solid understanding of modern data warehouse concepts
• Ability to work cross-functionally with technical and non-technical stakeholders
• Must be legally authorized to work in the country where the position is located