Product Data Analyst

Financial Conduct Authority
Edinburgh
2 days ago
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Job Title: Product Data Analyst


Division: Data, Technology and Innovation


Department: Digital Systems



  • Salary: National (Edinburgh and Leeds) ranging from £43,100 to £57430 and London from £47,300 to £63,000 (salary offered will be based on skills and experience)
  • This role is graded as: Associate – level 8 – Regulatory
  • Your recruitment contact is Benjamin via . 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 Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency.


Sitting within DTI, the Digital Systems team delivers the systems that enable the FCA to be a more effective and smarter regulator.


Role responsibilities

  • Take ownership and thoughtfully refine the product data backlog, translating business needs into actionable data requirements and prioritised analytics features that align with organisational goals.
  • Bring clarity and care to data delivery by modelling user journeys and data flows, crafting high-quality user stories in Jira and maintaining well-structured documentation to support collaboration.
  • Empower informed decision-making through creating and enhancing dashboards and reports in tools such as Salesforce, Power BI and Tableau, ensuring accurate and meaningful business and regulatory insights.
  • Advocate for strong data governance and compliance by nurturing data quality and integrity, managing dependencies with attention to detail and following FCA Data Management Policies using approved lineage and metadata tools.
  • Encourage continuous learning and inclusive engagement by supporting backlog refinement, participating in sprints, assisting with UAT and committing to professional development in analytics and regulatory technology.
  • Collaborate within supportive, autonomous cross-functional teams that value smart working, shared learning, and innovation, creating a safe space for experimentation and rapid improvement.
  • Join a purpose-led culture that celebrates diversity and trust, empowering individuals without micro‑management, encouraging creativity in technology-focused teams and ensuring work that makes a positive difference.

Skills required

Minimum:



  • Proven experience managing product data backlogs and writing clear user stories in Jira, applying Agile and Scrum principles.
  • Prior experience data analysis and visualisation, including building dashboards and reports using Salesforce, Power BI, and Tableau.
  • Proven experience in data governance and modelling, translating business requirements into data solutions, ensuring data integrity and quality and working with approved data management tools for lineage and metadata.

Essential:



  • Up to date with Salesforce data and analytics features and industry best practices, bringing a detail-oriented approach to ensure accuracy and quality in all deliverables.
  • Collaborative and proactive in resolving data queries, adaptable to changing priorities and committed to continuous learning and development, including gaining expertise in data governance and regulatory technology.
  • Data-driven and outcome-focused, applying analytical thinking to product analysis and design while promoting data-informed decision-making across teams.
  • Experienced or motivated to lead innovation initiatives, support compliance and reporting requirements and contribute to building a culture of continuous improvement in data analytics.

Benefits

  • 25 days annual leave plus bank holidays.
  • Hybrid model with up to 60% remote work.
  • 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.

For a full list of our benefits, and our recruitment process as a whole visit our benefits page.


Our values & culture

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation.


If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support.


We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part‑time and job sharing where applicable.


Disability Confident: Our hiring approach

We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.


Useful information and timeline

  • Advert Closing: 18th January at 11:59pm
  • CV Review/Shortlist: 19th – 20th January
  • Interviews W/C: 26th January
  • SC Clearance is required for this role (SC Guidance) - you will hold or will be required to obtain Security Check (SC) level vetting.
  • Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.


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