Data Analyst
QinetiQ · Farnborough, England ·
Last confirmed by our partners on 22 Oct 2026.
Overview
In this role you will shape our analytics capability by deploying Microsoft Fabric and Power BI to deliver actionable insights. You’ll work closely with cross-functional teams to build scalable data solutions and mentor other analysts. You will manage the full data lifecycle, from ingestion to dashboard delivery, across Fabric and Power BI. This is a hands-on position in a cutting-edge defence technology context with a focus on performance, governance and adoption of best practices. You will contribute to a modern analytics platform that informs critical decisions and supports business goals.
Pay / Benefits
- Matched contribution pension
- Generous holiday allowance
- Health and dental insurance options
- Employee discount and personal accident insurance
- Armed Forces Covenant and Defence Employer Recognition Scheme
- Volunteering opportunities
Responsibilities
- Design, develop and maintain Power BI dashboards and reports aligned with business needs
- Build and optimize semantic data models using star schema and DAX optimization
- Develop and manage data pipelines in Microsoft Fabric (Dataflows Gen2, Lakehouse, Warehouse)
- Translate stakeholder requirements into scalable data solutions and communicate insights to diverse audiences
- Ensure data accuracy, integrity and performance; contribute to Fabric architecture, governance and reusable standards
- Provide expert coaching, mentoring and identify opportunities to improve performance, usability, scalability and adoption of best practices
Key requirements
- Strong problem-solving and critical thinking with ability to derive actionable insights
- Extensive experience with Power BI (report design, DAX, data modelling)
- Experience with Microsoft Fabric or related Azure data services (Synapse, Data Factory)
- Proficiency in SQL, data transformation and dimensional data modeling
- Understanding of data warehousing, lakehouse concepts, version control and deployment practices
- Strong communication and stakeholder engagement, balancing hands-on delivery with leadership
- stakeholder management
- mentoring
- clear communication
- Power BI
- DAX
- SQL
Market data from EasyWorkClub, not from the employer
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