Data Quality Analyst

The Financial Conduct Authority; City of Edinburgh; On-site; GBP 52,000 - GBP 69,000; Full time

Job summary

A UK financial regulatory body is seeking a Data Quality Analyst for a 12-month FTC, based in Edinburgh. This senior associate role involves building best practices for data engineering, developing dashboards with tools like Python and SQL, and supporting data quality frameworks. Ideal candidates will have proven experience in data engineering and stakeholder engagement, with a salary range of £52,400 to £68,500 depending on skills.

Qualifications

• Proven experience using business intelligence tools or programming languages.
• Prior experience in data engineering and dashboard development.
• Experience with data quality principles and techniques.

Responsibilities

• Build and embed best practices for data engineering.
• Design, develop and maintain dashboards and monitoring tools.
• Develop and apply advanced analytical tools for data analysis.
• Support implementation of data quality frameworks across datasets.
• Facilitate cross-team collaboration on shared data issues.
• Create management information and benchmarking reports.

Skills

Python

SQL

Power BI

Tableau

Data engineering

Data quality principles

Stakeholder engagement

Job description

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Testing was carried out by Blazie Engineering using the Website Accessibility Conformance Evaluation Methodology (WCAG-EM) approach to deciding on a sample of pages to test.**Job Title: Data Quality Analyst – 12-month FTC****Division:** Market Oversight**Department**: Market Oversight, Data & Intelligence* **Salary:** National (Edinburgh and Leeds) ranging from £52,400 to £68,500 and London from £57,700 to £75,000 (salary offered will be based on skills and experience)* **This role is graded as:** Senior Associate - Regulatory* **Your recruitment contact is** Benjamin via [e-mail]. Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.**About the FCA and team**We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.The Market Oversight Directorate oversees conduct in UK primary and secondary markets through the listing, prospectus, and market abuse regimes, aiming to promote trusted, orderly, and efficient markets via its four departments: Listing, Primary Market Oversight, Secondary Market Oversight, and Market Oversight Data & Intelligence.The Market Oversight Data and Intelligence (MODI) Department, formed in 2024, drives data-led regulation by delivering specialist services, intelligence, and casework across UK markets, supporting innovation, insight, and effective oversight through advanced analytical and technical capabilities.**Role responsibilities*** Build and embed best practices for data engineering and dashboard development within the Data Quality team, driving consistency and scalability to support high-quality data solutions* Design, develop and maintain dashboards and monitoring tools using Python, SQL, Power BI and Tableau, enabling real-time anomaly detection and automated remediation, which improves data integrity and operational efficiency* Develop and apply advanced analytical tools to perform in-depth data analysis, providing actionable insights that strengthen team performance and decision-making* Support the design and implementation of comprehensive data quality frameworks across all MODI datasets, ensuring robust governance and compliance with regulatory standards* Facilitate cross-team collaboration on shared data issues, promoting a unified and strategic approach to data management that enhances organisational resilience and transparency* Create management information and benchmarking reports that deliver clear visibility into data quality trends, empowering stakeholders to make informed data-driven decisions**Skills required****Minimum:*** Proven experience using business intelligence tools or programming languages (e.g., Python, SQL, Power BI, Tableau)* Prior experience in data engineering, dashboard development and automation in large organisations* Proven experience with data quality principles and techniques**Essential:*** Strong interpersonal and stakeholder engagement skills with ability to collaborate across