AI Powered Power BI Engineer
Apptad Inc
Job Summary
The AI Powered Power BI Engineer is responsible for leveraging Artificial Intelligence AI Microsoft Copilot Large Language Models LLMs and modern analytics platforms to rapidly design develop and maintain Power BI reports dashboards and analytical solutions
This role combines expertise in Power BI data modeling DAX and AI assisted development to transform business requirements into executive ready reporting solutions with significantly reduced development effort and improved business insight generation The engineer acts as both a Power BI developer and an AI workflow orchestrator using AI tools to automate report creation documentation testing visualization design and narrative insight generation
Key Responsibilities
AI Driven Report Development
- Use Microsoft Copilot Power BI Copilot ChatGPT Claude and other approved AI tools to generate report prototypes dashboard layouts DAX formulas KPIs and visualization recommendations
- Translate business requirements into Power BI reports using prompt engineering and AI assisted design techniques
- Automate dashboard creation report documentation and metadata generation
- Utilize AI to identify reporting opportunities trends anomalies and predictive insights
Power BI Dashboard Engineering
- Design develop and deploy executive operational and analytical dashboards
- Create reusable reporting templates and visualization standards
- Build interactive scorecards KPI dashboards and self-service BI solutions
- Deliver modern user experiences focused on business decision-making
Semantic Modeling Analytics
- Design and maintain Power BI semantic models
- Develop advanced DAX calculations measures and KPIs
- Implement dimensional models using star and snowflake schemas
- Optimize datasets for performance and scalability
Data Integration Automation
- Connect Power BI to AWS Azure DataHub Snowflake SQL Server Oracle and other enterprise data sources
- Develop automated data ingestion transformation and reporting pipelines
- Leverage Python SQL Power Automate and Fabric capabilities to automate reporting processes
AI Insights Business Storytelling
- Utilize AI capabilities to generate narrative insights and executive summaries
- Develop natural language query NLQ solutions
- Enable business users to interact with data using conversational analytics
- Create automated insight generation capabilities within Power BI
Governance Security Quality
- Implement RowLevel Security RLS data governance and lineage tracking
- Ensure compliance with enterprise reporting standards
- Validate AIgenerated outputs for accuracy and business relevance
- Establish AI governance practices for reporting solutions
Required Qualifications
Education : Bachelor's degree in Computer Science Information Systems Data Analytics Engineering or equivalent experience
Experience :
- 5 years of Power BI development experience
- 2 years of practical experience leveraging AI technologies in analytics or software development
- Experience developing enterprisescale dashboards and reporting platforms
- Experience working with cloud data platforms AWS Azure Microsoft Fabric
Technical Skills
Power BI Expertise
Advanced Power BI development
Advanced DAX and Power Query
Semantic modeling
Report performance optimization
Dataflows and Fabric
AI Automation Skills
Microsoft Copilot
Power BI Copilot
Prompt Engineering
Generative AI LLM technologies
AIassisted software development
Conversational analytics
Agentic AI concepts
Data Integration Skills
SQL
Python
Data Warehousing
ETLELT development
AWS and Azure analytics services
API integrations
Preferred Qualifications
Microsoft Fabric certification
Power BI Data Analyst PL300
Azure AI Engineer certification
Experience building AI agents and copilots
Experience integrating Power BI with enterprise AI platforms
Experience creating executive dashboards for large organizations
Success Metrics KPIs
Reduction in report development effort through AIassisted delivery
Dashboard delivery cycle time
User adoption and engagement
Report quality and accuracy
Percentage of reporting assets generated or accelerated through AI automation
Executive stakeholder satisfaction
Reuse of semantic models and AIgenerated accelerators
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