At a Glance
- Tasks: Transform complex data into actionable insights and build automated dashboards.
- Company: Leading financial services firm with a focus on innovation and regulatory excellence.
- Benefits: Competitive salary, bonus, hybrid work model, and comprehensive benefits package.
- Other info: Join a dynamic team with opportunities for professional growth and development.
- Why this job: Make a real impact in the financial sector while developing your analytical skills.
- Qualifications: Strong SQL skills, experience with Tableau/Power BI, and active SC clearance required.
Role: Senior Data Analyst / BA (Hybrid – London, 3 days in office)
Clearance: Active SC Clearance Required
Salary: £75,000 – £85,000 + 10% Bonus + Benefits
Location: London
Role Overview
We are seeking a Security Cleared (SC) Senior Data Business Analyst with strong hands-on technical capabilities to bridge the gap between regulatory requirements and core data architecture. Embedded within a live testing programme for a major new regulatory reporting regime, you will drive supervisory effectiveness by translating complex entity and regulatory data into actionable insights, automated tools, and production-ready analytical blueprints. This position acts as the functional and analytical bridge between Supervision teams, Data Engineering, and Business Stakeholders—gathering requirements, validating data models, running complex SQL analysis, and delivering self-service Tableau intelligence.
Key Responsibilities
- Business Analysis & Requirements Engineering: Lead workshops with Supervision teams and business stakeholders to translate complex regulatory challenges into clear business/technical requirements, functional specifications, and analytical blueprints.
- Hands-on Data Analysis & Validation: Query, profile, and blend large-scale, multi-source regulatory datasets (authorisations, holdings, transactions) using SQL to identify anomalies, test data quality, and model business logic.
- Programme & Systems Acceptance Testing: Lead systems acceptance testing (UAT) for the new regulatory reporting regime, ensuring data usability, robust validation controls, and alignment with supervisory operational needs.
- Data Visualisation & Automation: Design and build automated, self-service Tableau/Power BI dashboards and Management Information (MI) to transition business teams away from manual spreadsheet tracking.
- External Integration & Enrichment: Oversee dataset enrichment by validating Legal Entity Identifiers (LEIs) and integrating external data feeds (GLEIF, Companies House, market proxies).
- Future-State Capability: Support the evolution of the platform’s analytics maturity by specifying continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.
Technical & Functional Experience
- SQL & Data Analysis: Strong hands-on SQL skills for querying, analyzing, and profiling large-scale data across complex, multi-source environments.
- Cloud & Modern Data Stack: Working familiarity with cloud-based data environments (specifically AWS services like S3, Athena, and DynamoDB).
- BI & Visualisation: Proven experience developing interactive dashboards and reporting tools in Tableau or Power BI.
- Data Business Analysis: Proven track record in requirement gathering, process mapping, UAT/testing management, and bridging business needs with technical delivery.
- Data Quality & Governance: Solid understanding of data validation, quality frameworks, LEI structures, and core data architecture principles within large institutions.
- Domain Knowledge: Demonstrable background within Financial Services, Central Banking, or Regulatory Data Regimes.
- Security Clearance: Active Security Clearance (SC) is mandatory for this role.
Core Competencies
- Stakeholder Management: Exceptional capability to reconcile competing business priorities, run effective workshops, and communicate technical concepts clearly to non-technical stakeholders.
- Proactive Ownership: Self-directed operator who can establish analytical direction, maintain delivery momentum, and resolve complex roadblocks with minimal oversight.
- Strategic Agility: Ability to rapidly absorb complex domain knowledge, adapt to shifting regulatory priorities, and drive cross-functional alignment.
Senior Data Analyst/BA in London employer: Velocity Talent
Velocity Talent is an exceptional employer, offering a dynamic work environment in either Leeds or London, where innovation and collaboration thrive. With a competitive salary and comprehensive benefits, employees are encouraged to grow their skills and advance their careers while working on cutting-edge technology like the Kong Konnect API platform. The company fosters a culture of teamwork and support, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst/BA in London
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Velocity Talent
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
