Padmi
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Microsoft

cloud computing (Azure) · AI and machine learning (Copilot, CoreAI)

Senior Business Intelligence Engineer - Agentic Development

Seattle · OnsitePosted 5 days ago
DataSeniorFull TimeH-1B track record
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​​* Create executive-ready reports, dashboards, web apps and presentations with leading edge esthetics as well as ease of use and best in class navigation for storytelling via Power BI and agentic experiences. Ensure consistency, performance and reliability across reporting assets. Drive Scalable Analytics: Implement semantic models, self-service processes and artificial intelligence-based solutions to improve speed and efficiency of decision making. Translate Strategy into Data Solutions: Convert business needs into technical requirements and guide decisions through high-impact analytics. Enable high quality and efficient AI agentic experiences across our platform. Drive automation and efficiency improvements through AI. Shape Platform Evolution: Through strategic collaboration with the Data Engineering team, influence how data is ingested, transformed, and consumed, contributing to platform strategy and scaling impact across teams. Apply advanced techniques such as DAX, Power Query, Fabric Notebooks, Ontology, AI skills and semantic modeling to deliver scalable insights. Perform data exploration via analytical tools, query languages (SQL, KQL) and agentic experiences Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. ​ Demonstrates strong executive presence with the ability to influence and communicate effectively with senior leaders, stakeholders, and cross-functional partners. Experience performing data exploration via analytical tools, query languages (SQL, KQL) and agentic experiences.

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