Women in Data®
Power BI Developer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Expiry date: 23:59, Wed, 23rd Sep 2026
Location: Remote
Salary: £50,000 Per Annum
Benefits: Competitive
Duration: 12 months
About the Role
Police Digital Service (PDS) is recruiting on behalf of the NPCC National Data & Analytics Office - NDAO a dedicated national capability transforming data and analytics use in policing. This is an exciting opportunity to be part of a ground-breaking function within policing which will shape the future of data and analytics in UK law enforcement and help to utilise policing data to better protect the public. The NDAO will ensure:
- Responsible data use across law enforcement
- Improved data governance and standardised datasets
- Enhanced data analytics services to support operational decision-making
- Professionalisation of data and analytics roles within policing
- A more integrated data-sharing ecosystem across forces, with the appropriate tooling to exploit the data held
For the first time, UK policing will have a recognised, accredited approach to data and analytics, helping forces to work smarter and more effectively without compromising security or integrity.
We are looking for an experienced and innovative Business Intelligence Developer to help shape how policing uses data to make better decisions, improve operational effectiveness, and deliver better outcomes for the public.
This is an exciting opportunity to join a multidisciplinary team at the heart of policing's data transformation agenda. You will design, develop and maintain modern business intelligence solutions that enable leaders, analysts and operational teams to access trusted, insightful and actionable information.
Working closely with Data Engineers, Data Architects, Analysts, Product Managers and stakeholders across policing, you will translate complex business requirements into intuitive data products, dashboards and reporting solutions that support national priorities and strategic decision making.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Design, build and maintain Power BI datasets, reports and dashboards.
- Develop scalable semantic models and reporting solutions that meet national policing requirements.
- Integrate, transform and optimise data from multiple sources.
- Champion data quality, governance and best practice throughout the development lifecycle.
- Translate complex analytical requirements into user-centred visualisations and actionable insights.
- Support the adoption of data products through stakeholder engagement, training and communication.
- Contribute to the development of national data standards, reporting frameworks and analytical capabilities.
- Collaborate with technical and non-technical stakeholders to ensure solutions deliver measurable business value.
- Optimise performance, security and accessibility of BI solutions.
- Stay informed of emerging technologies and contribute to continuous improvement across the data and analytics function.
What you need to succeed in the role
Skills and experience
Essential
- Proven experience developing enterprise-scale BI solutions.
- Advanced Power BI development capability, including DAX, Power Query and semantic model design.
- Experience working with large, complex datasets.
- Understanding of data warehousing, dimensional modelling and ETL/ELT processes.
- Experience working within Agile delivery environments.
- Ability to communicate technical concepts clearly to non-technical audiences.
- Strong problem-solving and analytical skills.
- Experience collaborating with multidisciplinary data teams.
Desirable
- Experience with Microsoft Fabric, Azure Data Services or Databricks.
- Knowledge of data governance and information management principles.
- Experience working within policing, criminal justice, public sector or regulated environments.
- Familiarity with Python or other data engineering technologies.
- Understanding of national policing data challenges and opportunities.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What Success Looks Like
You'll help deliver trusted data products that:
- Enable evidence-based decision making.
- Improve operational visibility and performance.
- Support national policing priorities.
- Increase confidence in data across policing.
- Drive greater consistency, efficiency and collaboration through shared insight capabilities.
Diversity, equity and inclusion
We are committed to equal opportunities for all and will not discriminate on any grounds. We encourage applications from people from the widest possible span of experience. All applicants will be considered without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, parental status, nationality, neurodiversity or disability status.
Working Arrangements
This is a remote role with some national travel required to attend meetings.
All applicants must be eligible to undergo NPPV3 (Non Police Personnel Vetting Level 3) and SC vetting clearances. Successful applicants will require NPPV3 clearance to have been cleared before starting with PDS.
Women in Data® advertise roles on behalf of our partners, alliances, and members.
We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location