Data Quality Analyst in the FCA's Market Oversight Directorate ensuring high-quality data solutions and compliance. Collaborating across teams to address shared data issues for informed decision-making.
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
Requirements
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
Strong interpersonal and stakeholder engagement skills with ability to collaborate across teams and regulatory bodies
Excellent written and verbal communication skills with ability to explain complex regulatory and technical concepts clearly
Proven analytical skills with experience using data to support decision-making and drive improvements
Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
Proactive approach to problem-solving and continuous improvement with openness to feedback and learning
Experience troubleshooting data issues and providing root cause solutions
Benefits
25 days annual leave plus bank holidays
Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders).
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
35 hours of paid volunteering annually
A flexible benefits scheme designed around your lifestyle
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