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About the Role

We are seeking a delivery-focused individual with client-facing experience to drive business analysis for our client businesses. You will support Business Owners, Data Stewards, and other technical forum members by providing Data Management expertise. The Business Analyst will shape business processes and requirements, assist solution design, and contribute to the delivery of enterprise-scale data management, compliance, risk, and security solutions, ensuring clients maximize data value while maintaining regulatory compliance.

Responsibilities

Work closely with Business and Technology teams across clients to define, analyse and implement changes.
Lead business analysis activities including process definition, requirement elicitation documentation and validation.
Shape and articulate clear business, functional, and non-functional requirements.
Produce high-quality documentation, results and findings.
Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk Managers.
Work with data owners, stewards and architects to identify required data sources, understand data lineage and constraints.
Ensure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention).
Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understanding.
Translate business needs into requirements for AI/analytics solutions (e.g. decision support, predictions, recommendations, GenAI copilots).
Work with data scientists / engineers / AI teams to define test scenarios and acceptance criteria that reflect business reality (e.g. edge cases, thresholds for “good enough” accuracy).
Follow best practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off.
Assist with the prioritisation and planning of key deliverables.
Work in an agile manner whilst still understanding the needs of planning and forecasting the overall delivery.
Demonstrate strong stakeholder Management, leadership and Problem-Solving skills.
Offer insights to the wider community through blogs, articles and social media.

Requirements

Must be eligible to obtain Security Check (SC) clearance.
Must have resided continuously within the United Kingdom for the last 5 years to obtain SC clearance.
May be asked about citizenship for security reasons.
3-6+ years in business analyst roles across data, security, AI, compliance, or cloud platforms.
Proven experience delivering enterprise scale solutions.
Strong background in data management and data security/governance programmes.
Ability to delve deep into a topic/requirement, analyse the impact and provide solutions.
Ability to assimilate information quickly and provide recommendation to support informed decision-making.
Ability to use own initiative to resolve issues/ investigate and find solutions.
Excellent verbal, written and presentation communication skills.
Experience in working with cross-region teams and projects.
Experience in delivering projects using an Agile methodology.
Strong understanding of data concepts: data quality, master/reference data, metadata, lineage, governance.
Ability to interpret outputs from analytics, dashboards and models, and challenge them from a business perspective.
Requirements elicitation for functional and non-functional requirements.
Business Process analysis, modelling and mapping.
Strong stakeholder management.
Experience with Waterfall, Agile, Scrum methodologies.
Communication & consulting skills.
Experience in data-driven project.
Cross-industry functional knowledge.
Full delivery lifecycle experience: elicitation, design, build, testing, business change, operational support.
Familiarity with AI and machine learning concepts (e.g. supervised vs unsupervised learning, prediction vs classification, model drift, basic evaluation metrics).
Comfortable working with requirements / modelling tools (BPMN, UML, user story tools, backlog management).
Experience eliciting and documenting data privacy, security and regulatory requirements.
BA/SCRUM/PM qualifications (Good-to-have).
Master Data Management, data governance, data modelling exposure (Good-to-have).
Experience with JIRA, Confluence, etc. (Good-to-have).
Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption (Good-to-have).
Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.) (Good-to-have).
Exposure to AI platforms (e.g. Azure OpenAI / other LLM services, data science environments, MLOps platforms) – as a partner/user rather than a builder (Good-to-have).
Pre-employment checks including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check.

Skills

Data Management
Data Governance
Master Data Management
Data Architecture
Data Migration
Information Strategy
Business Analysis
Requirements Elicitation
Process Definition
Solution Design
Stakeholder Management
Agile Methodology
Waterfall Methodology
Scrum Methodology
Communication
Consulting
Problem-Solving
AI/Analytics Solutions
Data Quality
Metadata Management
Data Lineage
Business Glossaries
Ontologies
Data Catalogues
AI/Machine Learning Concepts
BPMN
UML
User Story Tools
Backlog Management
Data Privacy
Security Requirements
Regulatory Requirements
BI/Analytics Tools (Power BI, Tableau)
AI Platforms (Azure OpenAI / other LLM services, data science environments, MLOps platforms)

Location

Work Type

Hybrid working
Flexible working arrangements

Experience Level

3-6+ years in business analyst roles

Benefits

Encouraged positive work-life balance
Countless training and development opportunities
Access to 250,000 courses
External certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications

About the Company

Capgemini's Insights and Data (I&D) business unit covers Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics.
The Enterprise Data Management team provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management.
We help clients build enterprise-class data platforms to advance their data and insights journey.
Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al.
Capgemini believes in bringing your whole self to work.
Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.
Capgemini helps organisations across the world become more agile, more competitive, and more successful.
Smart, tailored, often ground-breaking technical solutions to complex problems are the norm.
A culture that’s as collaborative as it is forward thinking.
Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals.
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity.
Diversity of thought is valued.

Equal Opportunity

Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.
Capgemini’s holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion.
Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality.