Junior Business Analyst

Capgemini; Birmingham; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Hybrid work

Learning & development opportunities

Job summary

Capgemini is seeking a Delivery-focused Business Analyst to drive enterprise-scale data management and governance initiatives. You will collaborate with Business Owners, Data Stewards and technical forums to shape processes, requirements and risk controls across client engagements.

You will shape data quality, metadata and governance needs, translate business needs into AI/analytics requirements and work with data scientists and engineers to validate test scenarios, ensuring alignment with

Qualifications

• 3–6+ years in business analyst roles with data, security, AI, or cloud experience.
• Strong background in data management, governance and regulatory requirements.
• Excellent stakeholder management, communication and documentation skills.
• Experience with Agile, Waterfall and delivery lifecycles.
• Ability to translate business needs into actionable requirements for analytics/AI.
• Familiar with data concepts: quality, metadata, lineage and governance.

Responsibilities

• Define, analyse and implement changes with business and technology teams.
• Lead requirement elicitation, process analysis and validation activities.
• Articulate functional and non-functional requirements clearly.
• Produce high-quality documentation, results and findings.
• Coordinate with data owners, stewards and architects on data sources and lineage.
• Translate business needs for AI/analytics solutions and validate against real scenarios.
• Participate in prioritisation, planning and agile delivery.

Skills

Business analysis

Stakeholder management

Agile methodology

Data governance

Data quality

Cross-region collaboration

Communication skills

AI/ML concepts familiarity

Tools

JIRA

Confluence

Job description

Who You Will Be Working With

You will join the Data Trust Capability in Capgemini's Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics.

Our team is one of the largest and most successful Data Management teams in the UK delivering innovative Data Management and Governance thought leadership to our clients.

The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management.

We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants, putting client requirements and industry best practices at the heart of delivery.

PLEASE NOTE:

Security Clearence: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

The Focus Of Your Role

We are seeking delivery-focused individual with client-facing experience to drive business analysis for our client businesses. You will often support the relevant Business Owners, Data Stewards and other technical forum members, as required, by providing Data Management expertise.

The Business Analyst will be responsible for shaping business processes and requirements, assisting solution design, and contribute to delivery of enterprise scale data management, compliance, risk, and security solutions. This role ensures our clients maximise the value of their data estate while maintaining compliance with regulatory and internal requirements.

Key responsibilities include:

• 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.

You may also offer insights to the wider community through blogs, articles and social media.

At Capgemini, we believe 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.

What You Will Bring

As a Business Analyst, you will have 3-6+ years in business analyst roles across data, security, AI, compliance, or cloud platforms, with proven experience delivering enterprise scale solutions. You'll have a strong background in data management and data security/governance programmes.

Experience & Core Capabilities:

• 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.

\"Must-have\" BA skills:

• 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

\"Good-to-have\" skills:

• BA/SCRUM/PM qualifications
• Master Data Management, data governance, data modelling exposure
• Tools: JIRA, Confluence, etc.
• Experience working on projects that use AI, ML or advanced analytics - ideally from discovery through to adoption.
• Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)
• Exposure to AI platforms (e.g. Azure OpenAI / other LLM services, data science environments, MLOps platforms) - as a partner/user rather than a builder

Additional Information

Hybrid working: 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.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What we'll offer you

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

Why we're different

At Capgemini, we help 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. But so, too, is 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. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our 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. These dimensions contribute to the type of diversity we value the most: diversity of thought.