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- Tasks: Drive data quality and develop dashboards using Python, SQL, Power BI, and Tableau.
- Company: Join the FCA, a key player in regulating UK financial services.
- Benefits: Competitive salary, 25 days annual leave, and opportunities for professional growth.
- Why this job: Make a real impact on data integrity and support innovation in UK finance.
- Qualifications: Experience with data engineering, business intelligence tools, and strong analytical skills.
- Other info: Collaborative environment with a focus on continuous improvement and stakeholder engagement.
The predicted salary is between 52400 - 68500 ÂŁ per year.
This role is graded as: Senior Associate - Regulatory.
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:
- 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
Data Quality Analyst - 12 month FTC in London employer: Financial Conduct Authority
Contact Detail:
Financial Conduct Authority Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst - 12 month FTC in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use examples from your past experiences that highlight your data quality expertise and problem-solving abilities.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar.
✨Tip Number 4
Apply through our website for the best chance of landing that Data Quality Analyst role. It streamlines the process and ensures your application gets the attention it deserves!
We think you need these skills to ace Data Quality Analyst - 12 month FTC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Analyst role. Highlight your experience with Python, SQL, and any business intelligence tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Share examples of how you've used data to drive decisions or improvements in previous roles. We’re all about data-driven insights here at StudySmarter!
Apply Through Our Website: Remember, applications must be submitted through our online portal. Don’t send them via social media or email – we won’t be able to consider them. So, head over to our website and get your application in!
How to prepare for a job interview at Financial Conduct Authority
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, Power BI, and Tableau. Be ready to discuss how you've used these tools in past roles, especially in data engineering and dashboard development. Having specific examples will show that you can hit the ground running.
✨Understand Data Quality Principles
Familiarise yourself with data quality frameworks and principles. Be prepared to explain how you've implemented or improved data quality in previous positions. This will demonstrate your understanding of the role's responsibilities and your proactive approach to problem-solving.
✨Showcase Your Communication Skills
Since this role involves collaboration across teams, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical stakeholders. This will highlight your interpersonal skills and ability to engage effectively.
✨Prepare for Scenario Questions
Expect questions that assess your analytical skills and decision-making process. Prepare for scenario-based questions where you might need to troubleshoot a data issue or improve a data process. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
