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# Power BI & Insights Developer

- **Company:** PA Housing
- **Location:** Leicester, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Query Optimization, Power BI, Cloud Services, Data Streaming, Data Analytics
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0c04fc298dc5a11e

## About the Role

* Proven experience developing Power BI reports, with strong DAX skills including complex measures and calculated columns
 * Minimum 2 years' experience in a similar role.
 * Understanding of data modelling, data warehousing and ETL processes
 * Experience with cloud data platforms, ideally Azure
 * Strong analytical and problem-solving skills, with the ability to turn complex data into actionable insights
 * Excellent communication and stakeholder management skills, with the ability to translate technical information into clear business language
 * Strong SQL skills, including query optimisation

You'll also need to be organised, proactive and comfortable working collaboratively with colleagues and partners at all levels. A degree or equivalent relevant experience is required, along with a full driving licence.

If you're someone who enjoys working with data, solving problems and finding better ways to turn information into insight, we'd love to hear from you

## Description

* Develop, maintain and optimise Power BI reports and dashboards to support business decision-making
 * Work with stakeholders to understand reporting requirements and create clear, effective data visualisations
 * Ensure data is accurate, consistent and reliable across reports and dashboards
 * Work with different data sources and platforms to support effective data integration and data flow
 * Validate reporting outputs against source systems to ensure accuracy and robustness
 * Troubleshoot and resolve data and reporting issues to maintain business continuity
 * Work with data engineering and data science colleagues to develop data models and support in-depth analysis
 * Identify opportunities to automate manual reporting, improve systems and enhance business intelligence capabilities