Capgemini

Data business analyst in investment banking

In short

Data Business Analyst role on a high-profile Investment Banking transformation programme at Capgemini, working across Global Markets to improve data quality, governance, and reporting. Requires proven business analysis experience in Investment Banking/Financial Services, strong SQL skills, and expertise in data mapping, lineage analysis, and data governance. Involves engaging senior business and technology stakeholders and driving strategic data transformation initiatives. Hybrid role based in London.

Description
We are seeking an experienced Data Business Analyst to join a high-profile Investment Banking transformation programme. The successful candidate will play a key role in driving data-focused initiatives across Global Markets, working with business and technology stakeholders to improve data quality, governance, and reporting capabilities.
Responsibilities
•Analyse and investigate complex data requirements across Global Markets functions
•Identify critical data elements and assess downstream impacts on business processes and reporting
•Perform data mapping, lineage analysis, and data quality assessments
•Support the design and implementation of data governance frameworks and operating models
•Collaborate with business and technology teams to define and deliver data-related solutions
•Reconcile and interpret large datasets to identify trends, issues, and opportunities for improvement
•Drive discussions with senior stakeholders and influence decision-making across programmes
•Contribute to business change initiatives and strategic data transformation projects
Requirements
•Proven Business Analysis experience within Investment Banking Financial Services
•Strong understanding of Global Markets front-to-back processes
•Experience working on data-focused transformation or change programmes
•Knowledge of data governance, reference data, and enterprise data domains
•Ability to identify and resolve data quality issues
•Strong data analysis and investigation capabilities
•Understanding of data design and data modelling concepts
•Experience with data mapping and lineage analysis
•Strong SQL querying skills
•Ability to analyse and reconcile large datasets
•Ability to engage effectively with senior business and technology stakeholders
•Experience working across multiple teams and functions
•Strong communication and influencing skills
•Self-driven with the ability to lead initiatives independently
Nice to have
•Familiarity with Hypercube or similar data analysis tools is advantageous
Conditions
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

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