£450 Per day
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Power BI Data Analyst role involves transforming complex data into actionable insights to support a leading public sector organization's sustainability and infrastructure initiatives. The position requires expertise in Power BI to create impactful dashboards and ensure data quality while collaborating with various teams. This role is crucial for aiding senior leaders and project teams in making evidence-based decisions. The opportunity offers a chance to work on significant projects with a public impact in a flexible hybrid working environment.
Key Responsibilities:
- Build and maintain Power BI dashboards, models, and reports across multiple projects and services.
- Combine, transform, and cleanse data from different sources (using Power Query, DAX, and semantic models).
- Translate raw data into actionable insights for senior leadership and project teams.
- Support the organisation’s data governance, quality assurance, and auditing practices.
- Work collaboratively with digital, data, and technology teams to embed consistent data standards.
- Present complex information in a clear, engaging way for both technical and non-technical audiences.
Key Skills:
- Proven expertise in Power BI (including Power Query, DAX, semantic modelling).
- Strong background in data analysis, cleansing, and visualisation.
- Experience of working with large, complex datasets from multiple sources.
- Knowledge of data governance, quality assurance, and statistical methods.
- Ability to manage stakeholders and explain technical insights in plain language.
- An agile, problem-solving mindset, comfortable working across multiple projects.
Salary (Rate): £450 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Power BI Data Analyst – Contract
The Opportunity
A leading public sector organisation is delivering one of the UK’s most ambitious sustainability and infrastructure programmes. To support this, we’re looking for a Power BI Data Analyst with the technical expertise and creativity to turn complex data into meaningful insights. This role is central to helping senior leaders, project teams, and partner organisations make evidence-based decisions. You’ll work with large, varied datasets, create high-impact dashboards, and ensure data quality and governance is applied consistently.
What You’ll Be Doing
- Build and maintain Power BI dashboards, models, and reports across multiple projects and services.
- Combine, transform, and cleanse data from different sources (using Power Query, DAX, and semantic models).
- Translate raw data into actionable insights for senior leadership and project teams.
- Support the organisation’s data governance, quality assurance, and auditing practices.
- Work collaboratively with digital, data, and technology teams to embed consistent data standards.
- Present complex information in a clear, engaging way for both technical and non-technical audiences.
What We’re Looking For
- Proven expertise in Power BI (including Power Query, DAX, semantic modelling).
- Strong background in data analysis, cleansing, and visualisation.
- Experience of working with large, complex datasets from multiple sources.
- Knowledge of data governance, quality assurance, and statistical methods.
- Ability to manage stakeholders and explain technical insights in plain language.
- An agile, problem-solving mindset, comfortable working across multiple projects.
What’s on Offer
£350-450 day rate. Flexible hybrid working (2–3 days London office, rest remote). Chance to work on a major sustainability and infrastructure programme with significant public impact.
Why Apply
This is a high-profile role where your work will directly influence the delivery of one of the UK’s most important infrastructure and environmental programmes. If you want to use your Power BI expertise to shape smarter decisions, improve data culture, and contribute to sustainability at scale, this is an opportunity not to miss.