Data Quality Analyst

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.

Working at Octus, we hire growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.

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

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

• 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.

Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.