Data Analyst

Junior Data Analyst – Fintech & Commercial Analytics Team (6–12 months)

Rate: £350.00 - £400.00 per day inside IR35

Location: Hybrid, Central London

About the Role

Our global financial services client is seeking a Data Analyst to join their Fintech & Commercial Analytics Team. This role is ideal for someone with strong technical skills and a passion for uncovering insights from large datasets to support strategic decision-making.

You’ll be responsible for implementing and maintaining PySpark data tables aligned with established data models and best practices. This includes translating business requirements into production-level code, particularly focused on payment cost analysis, and ensuring data quality through systematic validation.

You’ll work closely with senior analysts and stakeholders to refine data pipelines, improve infrastructure, and document technical processes to ensure team-wide knowledge sharing and operational consistency.

About the Team

You’ll be a key contributor to the Commercial Analytics unit within our Fintech department—a team committed to innovation, collaboration, and impact.

Responsibilities

• Working independently to collect, prepare, and write production-ready PySpark code
• Translating business questions into structured data problems and insights
• Utilizing big data platforms to run root cause analyses and data reconciliations
• Maintaining reports, metrics, and data workflows within your scope
• Communicating findings clearly to stakeholders with varying technical expertise
• Participating actively in Agile team activities (standups, planning, retrospectives)
• Sharing and absorbing knowledge through cross-team collaboration
• Driving improvements in data structure, efficiency, and reliability
• Contributing to data documentation and process standardization

Qualifications

• A Master’s degree in a Quantitative discipline (preferred)
• 3–5 years of experience in data analytics, insight generation, and visualization
• Big data analytics projects in an industry setting
• Advanced SQL and PySpark development
• Data transformation and big data pipeline design
• Python programming fundamentals
• Familiarity with big data platforms and version control tools
• Knowledge of financial metrics or payments data (preferred)
• Strong communication and stakeholder engagement skills
• Balancing technical detail with big-picture thinking

Please attach your CV for immediate consideration.