AIPowered PowerBI Engineer
Torrance - California - USAOn-siteFull-timeArtificial Intelligence
Description
AIPowered PowerBI Engineer Torrance CA On-site Job Summary The AIPowered PowerBI Engineer is responsible for leveraging Artificial Intelligence AI Microsoft Copilot Large Language Models LLMs and modern analytics platforms to rapidly design develop and maintain PowerBI reports dashboards and analytical solutions This role combines expertise in PowerBI data modeling DAX and AIassisted development to transform business requirements into executiveready reporting solutions with significantly reduced development effort and improved business insight generation The engineer acts as both a PowerBI developer and an AI workflow orchestrator using AI tools to automate report creation documentation testing visualization design and narrative insight generation Key Responsibilities 1 AIDriven Report Development 30 Use Microsoft Copilot PowerBI Copilot ChatGPT Claude and other approved AI tools to generate report prototypes dashboard layouts DAX formulas KPIs and visualization recommendations Translate business requirements into PowerBI reports using prompt engineering and AIassisted design techniques Automate dashboard creation report documentation and metadata generation Utilize AI to identify reporting opportunities trends anomalies and predictive insights 2 PowerBI Dashboard Engineering 25 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 3 Semantic Modeling Analytics 15 Design and maintain PowerBI semantic models Develop advanced DAX calculations measures and KPIs Implement dimensional models using star and snowflake schemas Optimize datasets for performance and scalability 4 Data Integration Automation 10
Connect PowerBI to AWS Azure Data Hub 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
5 AI Insights Business Storytelling 10
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 PowerBI
6 Governance Security Quality 10
Implement Row Level 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 Bachelors degree in Computer Science Information Systems Data Analytics Engineering or equivalent experience Experience 5 years of PowerBI 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 PowerBI Expertise Advanced PowerBI development Advanced DAX and Power Query Semantic modeling Report performance optimization Dataflows and Fabric AI Automation Skills Microsoft Copilot PowerBI 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 PowerBI Data Analyst PL300 Azure AI Engineer certification Experience building AI agents and copilots Experience integrating PowerBI 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
Requirements
Mandatory Skills : ANSI-SQL, Dimensional Data Modeling, PowerBI