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Power BI Developer, DAX, Azure Data
Growth Acceleration Partners. Develop, maintain, and enhance Power BI dashboards, reports, and semantic models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Power BI development, including building and optimizing dashboards, reports, and data models. Proficient in DAX, SQL, and ETL/ELT processes, with a strong focus on data validation and collaboration with stakeholders.
Highest-signal resume keywords
Power BI DevelopmentDAX OptimizationSQL QueryingETL/ELT ProcessesData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Power BIDAXSQLETLData ModelingData VisualizationData AnalysisData ValidationDashboard DevelopmentSemantic Models
Soft Skills
Analytical MindsetAttention to DetailOrganizational DisciplineCollaborationDocumentation Skills
Tools & Technologies
Microsoft AzureMicrosoft FabricPower BI DesktopPower BI Service
Industry Keywords
Business IntelligenceData AnalyticsData TransformationKPI ReportingDimensional Modeling
Tech Stack
Tools & technologiesAzureCloudETLSQL
About the role
Key responsibilities & impact- Develop, maintain, and enhance Power BI dashboards, reports, and semantic models
- Build and optimize DAX measures, calculated columns, and other DAX expressions
- Design and maintain data models and relationships for accurate, scalable, and performant reporting
- Write and optimize SQL queries to extract, transform, analyze, and validate backend data
- Work with ETL/ELT pipelines and data transformation processes
- Connect Power BI to Azure, Microsoft Fabric, SQL, and other data sources
- Develop interactive dashboards and reports communicating KPIs, trends, metrics, and business insights
- Troubleshoot data, modeling, DAX, and report-level issues
- Collaborate with Data Engineers, Developers, and business stakeholders to resolve issues
- Perform functional and data validation of Power BI solutions
- Analyze discrepancies between source data and Power BI outputs
- Participate in requirements discussions and translate business needs into data models, measures, dashboards, and visualizations
Requirements
What you’ll need- Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related technical field
- 5+ years of experience in Power BI development, business intelligence, data analytics, or related data-focused roles
- Hands-on experience building and maintaining Power BI reporting solutions
- Strong experience developing Power BI reports and dashboards, including data visualization, report navigation, filtering, drill-throughs, and interactive reporting
- Demonstrated expertise with DAX, including measures, calculated columns, calculated tables, time-intelligence calculations, and DAX optimization
- Strong SQL experience for querying, transforming, and validating relational and cloud-based data
- Practical ETL/ELT and data pipeline experience
- Experience designing and maintaining data models, relationships, dimensions, facts, calculated measures, and semantic models
- Hands-on experience with Microsoft Azure and/or Microsoft Fabric ecosystems
- Ability to perform functional validation and data quality checks on Power BI reports and dashboards
- Strong experience with Power BI Desktop and Power BI Service
- Experience with dimensional modeling, fact and dimension tables, relationships, star schemas, and semantic models
- Experience translating business requirements into KPIs, dashboards, reports, data visualizations, and reporting solutions
- Basic experience validating report functionality, data accuracy, calculations, filters, and visual behavior
- Advanced English proficiency, written and verbal
- Strong analytical mindset
- Excellent documentation skills for clear, reproducible, and repeatable test cases and bug reports
- Ability to collaborate with Data Engineers, Developers, and Product Stakeholders
- High attention to detail, organizational discipline, and technical ownership over data reliability
Benefits
Comp & perks- Continuous education
- Onsite English classes
- Cutting-edge training in AI, machine learning, and next-generation technologies
- Equal opportunity and inclusive workplace culture