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Power BI Developer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-02-28
Listing for:
Talent
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Job Description
- Power BI Developer - Public Sector
- Remote Working
- Contract - 6 months
- £500-£550 per day inside IR35
As a Power BI Developer you will be working autonomously to design, develop, and maintain complex Business Intelligence (BI) solutions, guiding and supporting others while ensuring data integrity and effective stakeholder communication within the public sector.
Key Responsibilities- Partner with stakeholders to identify business intelligence needs and translate complex requirements into scalable, data‑driven solutions.
- Design and implement robust data models including Star Schemas to transform raw data into high‑performance analytical structures.
- Build and maintain interactive, high‑impact Power BI dashboards that provide actionable insights and a seamless user experience.
- Execute advanced data extraction and manipulation using SQL, and manage end‑to‑end data preparation (ETL) within Power Query (M).
- Develop sophisticated calculations and custom measures using DAX to drive deep‑dive business analysis.
- Leverage cloud‑based environments (primarily Azure) to optimize data sourcing and storage workflows.
- Maintain comprehensive documentation for data models, parameters, and algorithms to ensure transparency and ease of maintenance across the team.
- Business Needs Analysis: grasping and interpreting business intelligence requirements and translating them into actionable, data‑driven solutions.
- Data Modelling: designing and mapping data models (e.g., star schema) that efficiently use raw data to enable analysis.
- Report and Dashboard Development: utilizing Power BI to design interactive and visually appealing dashboards and reports.
- Technical
Skills:- SQL for data extraction and manipulation.
- DAX (Data Analysis Expressions) for advanced calculations and measures within Power BI.
- Power Query (M language) for data sourcing and transformation.
- Familiarity with cloud technologies like Azure is often beneficial.
- Documentation: creating detailed documentation for models, parameters, and algorithms.
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