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About the Role
Build high-quality analytics solutions using Microsoft Fabric and Power BI, translating business needs into trusted data models, reports and insights. Work as part of a client delivery team, with support from senior consultants and architects.
Responsibilities
- Work with client stakeholders and delivery colleagues to understand business questions, user needs, data sources and acceptance criteria.
- Build and enhance Power BI reports, dashboards, semantic models and KPI scorecards using appropriate visualisation and accessibility practices.
- Develop data preparation and transformation logic using Power Query, Dataflows Gen2, SQL and, where appropriate, Fabric pipelines or notebooks.
- Create clear, maintainable DAX measures and dimensional models that support accurate and performant analysis.
- Contribute to the configuration and use of Fabric workspaces, deployment pipelines, source control and release processes.
- Apply agreed security controls, including workspace and app access, row-level security and sensitivity or endorsement settings.
- Test solutions, investigate defects and performance issues, and produce concise technical and user documentation.
- Participate in agile ceremonies, estimation, peer reviews, demonstrations and knowledge sharing.
- Support proposals, demonstrations, accelerators and reusable assets for the wider AI & Analytics practice.
- Develop your consulting capability by communicating clearly, managing commitments and seeking feedback from clients and colleagues.
Requirements
- Eligible to obtain Security Check (SC) clearance.
- Hands-on experience building Power BI reports and dashboards for business users.
- Working knowledge of DAX, Power Query and data modelling, including facts, dimensions and relationships.
- Experience connecting to, preparing and validating data from common sources such as SQL databases, files, APIs or cloud platforms.
- Understanding of Power BI Service concepts, including workspaces, apps, refresh, gateways, permissions and deployment.
- Awareness and experience of Microsoft Fabric capabilities such as OneLake, Lakehouse, Warehouse, Data Factory and semantic models, with practical exposure to at least one area.
- Ability to translate requirements into user stories, prototypes or working analytics outputs.
- Good analytical, written and verbal communication skills, with the confidence to work collaboratively in a client-facing team.
- Commitment to inclusive design, accessibility, data quality and secure handling of client information.
- Experience with SQL, Azure data services, Databricks, Microsoft Purview, Power Platform or other cloud data platforms.
- Exposure to version control and CI/CD using Git, Azure DevOps or Fabric deployment pipelines.
- Awareness of capacity, licensing, performance optimisation and governance considerations in Power BI or Fabric.
- Experience working in agile delivery and producing documentation, test evidence or training materials.
- A relevant Microsoft certification, or willingness to work towards one, such as PL-300 or DP-600.
Skills
- Microsoft Fabric
- Power BI
- DAX
- Power Query
- Dimensional data modelling
- Data quality
- Security
- Governance
- Deployment controls
- Requirements discovery
- Prototyping
- Testing
- User adoption
- Monitoring
- Support
- Troubleshooting
- Continuous improvement
- SQL
- Git
- Azure DevOps
- Microsoft Purview
- Power Platform
- Azure data services
- Databricks
Location
- Hybrid
Work Type
- Hybrid working
Experience Level
- Grade B role
- Developing their career
Education Level
- Relevant Microsoft certification, or willingness to work towards one, such as PL-300 or DP-600
Benefits
- Access to learning, certification and coaching
- Opportunities to develop towards senior consultant, analytics lead or solution architecture pathways
- Supported to maintain a positive work-life balance
- Build your career through Capgemini's learning-for-life culture
- Practical delivery experience
- Professional communities
- Internal learning
- Access to external certification pathways
About the Company
- Capgemini's AI and Analytics team within the Insights and Data Global Business Unit.
- At Capgemini, we help organisations become more agile, competitive and successful through tailored technology and data solutions.
- Our work combines technical quality with collaboration, inclusion and a close understanding of client goals.
- We value diversity of thought and the different experiences people bring to our teams.