Technical Business Analyst – AI, Data & Delivery

Capgemini; United Kingdom; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Capgemini Invent in the UK is looking for a Technical Business Analyst who can bridge business needs with technology, architecture and data. You will help shape product features, ensure scalable back-end design and support data-driven decision making across client projects.

You will work within AI & Digital Factory, contributing to multiple industries, applying DevOps practices and agile methodologies while maintaining a clear connection between user value and technical delivery.

Qualifications

• Experience in the technical design and development of technology-based products.
• Experience with technical architecture and owning technical writing.
• Experience in data analysis, data modelling, and data visualization tools such as SQL, Excel, Tableau, PowerBI.
• Willingness to manipulate database schemas and perform data transformations.
• Ability to manage end-to-end delivery and agile backlogs.
• Ability to adapt to Scrum, SAFe and Waterfall.

Responsibilities

• Translate business objectives into valuable technical features and user stories.
• Leverage IT Delivery Frameworks and DevOps to facilitate CI/CD pipelines.
• Conduct system and data analysis to identify improvement areas.
• Support management of product roadmap, prioritisation, and backlog refinement.
• Collaborate with product owners, developers, architects and QATs.

Skills

Tech design

Tech architecture

Data analysis

Data modelling

Data visualization

Agile delivery

Backlog management

Scrum/SAFe/Waterfall

Tools

SQL

Excel

Tableau

PowerBI

Job description

Capgemini Invent in the UK is looking for a Technical Business Analyst who can bridge business needs with technology, architecture and data. You will help shape product features, ensure scalable back-end design and support data-driven decision making across client projects.

You will work within AI & Digital Factory, contributing to multiple industries, applying DevOps practices and agile methodologies while maintaining a clear connection between user value and technical delivery.