Research & Data Analyst responsible for integrating new data sources into the platform. Conducting analysis and collaborating across teams to inform product features.
FA
Hybrid Business Data Analyst – Data Acquisition, Insights
Posted 2 months ago
About the role
- Business Data Analyst focused on improving regulatory data collections at the FCA. Collaborating with stakeholders to co-create practical data solutions and enhance outcomes for UK consumers.
Responsibilities
- Collaborate across the FCA to improve regular data collections, strengthening regulatory decisions and delivering better outcomes for consumers
- Analyse and prioritise data change requests, turning complex needs into clear use cases that enable timely, effective supervision
- Engage with stakeholders to understand processes and needs, building shared understanding to co-create practical, proportionate data solutions
- Apply data and business analysis techniques to investigate data and process issues, identifying root causes and improving data quality and reliability
- Provide trusted advice and support to colleagues, resolving data acquisition challenges and enabling teams to deliver their work with clarity
- Develop end-to-end knowledge of FCA data flows, connecting collection, governance and use to support a more joined-up organisation
- Contribute to the FCA’s data-led transformation, influencing how data from c.35,000 firms is used to protect millions of UK consumers
- Build a distinctive blend of data, analysis and stakeholder skills, broadening career opportunities and supporting future leadership roles
Requirements
- Prior experience in business analysis and change projects, delivering outcomes and gathering data requirements for stakeholders
- Experience in data-related roles demonstrating ability to interpret data, apply logical reasoning and use problem-solving skills to address complex issues
- Proven experience in stakeholder engagement, building relationships, and clearly communicating technical concepts to non-technical audiences
- Demonstrable experience with core business tools and data analysis, including advanced Excel, SQL, Python, and data visualisation (Tableau preferred)
- Analytical, numerical and data literate, being comfortable with quantitative concepts, data validation and understanding of data management activities that support data analysis
- Accuracy and attention to detail, in analysis and communications with the ability to produce concise written and visual outputs
- Ability to understand and document data requirements, including user and data needs, processes, and flows
- Locate and access data using different channels and carry out analysis to identify issues, spot trends and arrive at a logical conclusion to support for data users and stakeholders
- Experience working in agile environments, embracing flexibility and supporting iterative delivery throughout the project lifecycle
- Strong organisational skills to manage multiple tasks effectively and keep stakeholders informed
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
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