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GTN Technical Staffing
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USD
125000
150000
YEAR
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Senior Power BI Developer
Dallas, TX US
2025-05-22
2025-06-21
Job Number: 27241
Pay Rate: $125000 - $150000
Remote Friendly?:
Job Description
Senior Power BI Developer
Position Summary
We are seeking a highly skilled Senior Power BI Developer to join our Data Insights & Analytics team. This role is pivotal in transforming complex insurance data into actionable intelligence through interactive dashboards, powerful reports, and efficient data models.
You will collaborate closely with engineering, product, and business stakeholders to design, develop, and maintain reporting solutions that support strategic decision-making and operational transparency. Our stack includes Power BI, Microsoft Fabric, Azure Synapse Analytics, and Azure SQL.
In addition to your technical responsibilities, your daily routine will include participating in standup meetings, managing work items based on your capacity, collaborating with the team’s growing technology team to define new projects or initiatives, and engage in development activities. In addition to traditional data engineering tasks, you will directly interact with the teams developing the tools we utilize, enabling you to provide direct product feedback and witness your input driving changes in the products over time.
Key Responsibilities
You will collaborate closely with engineering, product, and business stakeholders to design, develop, and maintain reporting solutions that support strategic decision-making and operational transparency. Our stack includes Power BI, Microsoft Fabric, Azure Synapse Analytics, and Azure SQL.
In addition to your technical responsibilities, your daily routine will include participating in standup meetings, managing work items based on your capacity, collaborating with the team’s growing technology team to define new projects or initiatives, and engage in development activities. In addition to traditional data engineering tasks, you will directly interact with the teams developing the tools we utilize, enabling you to provide direct product feedback and witness your input driving changes in the products over time.
Key Responsibilities
- Design, build, and maintain advanced Power BI dashboards, reports, and visualizations
- Develop and optimize data models and transformations using DAX, Power Query (M), and SQL
- Integrate Power BI solutions with Azure data services, including Data Factory, Synapse, and Azure SQL
- Collaborate with business stakeholders to define KPIs, requirements, and reporting objectives
- Translate complex data sets into clear insights through interactive and scalable BI solutions
- Ensure consistency, performance, and reliability of reports through best practices in BI development
- Participate in code reviews, solution design, and mentoring junior team members
- Stay up-to-date with Power BI and Microsoft Fabric enhancements, recommending relevant improvements
- Support live dashboards and address performance issues or data inconsistencies as needed
- Power BI: Expert-level experience in building and deploying dashboards and paginated reports
- Data Modeling: Proficient in DAX, Power Query (M), and dimensional modeling techniques
- SQL & Data Integration: Strong T-SQL skills and experience integrating with Azure SQL and Synapse
- Microsoft Fabric / Azure: Familiarity with Microsoft Fabric notebooks and Azure-based data architecture
- Performance Optimization: Skilled at identifying bottlenecks and tuning reports for performance and usability
- Bachelor’s degree in Computer Science, Data Analytics, or related field (or equivalent experience)
- 5+ years of experience with Power BI, DAX, and Power Query in enterprise environments
- 3+ years of experience working with Azure services such as Data Factory, Synapse, and Azure SQL
- Proven ability to gather requirements, work with stakeholders, and deliver business-ready solutions
- Experience with Microsoft Fabric or similar analytics environments is a strong plus
- Experience working with Lloyd’s of London bordereaux data is a strong plus, particularly in contexts involving ingestion, validation, and transformation of complex insurance data sets.
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