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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

Vacancy posted 3 days ago
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