Senior Business Analytics Specialist

** Overview*
* The BI COE (Business Intelligence Center of Excellence) Platform team designs, engineers, and operates the AMP Data Platform - a centralized, enterprise-scale data platform powering business intelligence, analytics, process automation, and AI solutions across Microsoft.

Built and operated natively on  
** Microsoft Fabric** , the platform is the foundation for more than  
** 120 semantic models, 200+ reports** , numerous automation solutions, and emerging AI experiences that support over  
** 50,000 monthly users
** across the Microsoft Customer and Partner Solutions (MCAPS) and Finance organizations.

As one of Microsoft's largest Fabric enterprise implementations, the platform also serves as a  
** Customer Zero environment** , partnering closely with the Microsoft Fabric Product Group to validate, influence, and scale next-generation platform capabilities.

We are on a journey to  
** reinvent data engineering and our data platform for the age of AI**  - building an  
** AI-native data platform
** where intelligent agents take on much of the repetitive, time-consuming data engineering work, and engineers lead with  
** intent-first engineering** : defining direction, specifications, and judgment while agents help build, test, and validate. This role is central to that shift.

We are seeking a technical  
** Senior Business Analytics Specialist
** to help build and operate the next generation of Microsoft's analytics and AI platform. The successful candidate combines strong data engineering fundamentals with deep expertise in modern cloud analytics platforms, AI-native engineering practices, and enterprise-scale governance. You will work alongside Data Architect, Data engineers, BI Leads, data product owners, and product engineering teams to deliver secure, scalable, AI-ready data solutions that accelerate business impact.

This is a hands-on IC role. Every system and solution we build is  
** secure by design**  - security and privacy are part of our system design from the start, not an afterthought, and AI-native engineering is core to how the team works.

** Responsibilities*
* ** What Success Looks Like*
* In this role, you will:

+ Help operate one of Microsoft's largest Microsoft Fabric enterprise platforms.

+ Enable trusted data products that power analytics, automation, and AI experiences across MCAPS and Finance.

+ Accelerate Microsoft's transition toward AI-native engineering through practical adoption of AI-native development practices.

+ Improve platform scalability, reliability, governance, and performance for over 50,000 monthly users.

+ Partner with Microsoft Fabric Product Group teams to influence and validate next-generation platform capabilities through Customer Zero adoption.

+ Enable secure downstream consumption of data products and self-serve analytics - delivering governed, performant semantic models that let business users build their own analytical and AI solutions while preserving performance, security, and compliance.

+ Build AI agents and AI solutions that automate repetitive, tedious data engineering and analytical tasks - freeing engineers to lead with intent-first design and accelerating the journey to AI-native data engineering.

** Our Technology Environment*
* You will work hands-on across a modern, Fabric-native stack:

+  
** Lakehouse & storage:
** Microsoft Fabric, One Lake, Delta Lake / Parquet, Lakehouse & Warehouse, shortcuts, and medallion (bronze / silver / gold) architecture.

+  
** Processing & compute:
** Apache Spark (PySpark, Spark SQL), Fabric Notebooks, Dataflows Gen2, Data Factory pipelines, and T-SQL.

+  
** Semantic & BI:
** Power BI, Direct Lake, Direct Query and Import mode semantic models, DAX, the Verti Paq engine, and incremental refresh.

+  
** Real-time:
** Real-Time Intelligence, Event streams, and Eventhouse / KQL databases.

+  
** AI & agents:
** Git Hub Copilot, Copilot for Fabric, Microsoft Agency, Azure OpenAI / Azure AI Foundry, RAG, vector search, and agent frameworks.

+  
** Governance & security:
** Microsoft Purview, sensitivity labels, data lineage, RBAC, and Microsoft Entra .

+  
** Engineering & Data Ops:
** Git, Fabric deployment pipelines, CI/CD (Azure Dev Ops / Git Hub), automated data-quality testing, and observability.

+  
*
* Languages:

** Python, SQL / T-SQL, PySpark, DAX, and KQL.

** AI-Native Data Platform Engineering*
* + Design, develop, and optimize enterprise-scale data pipelines, data products, and platform services on Microsoft Fabric.

+ Build and maintain scalable Lakehouse, Warehouse, and Direct Lake semantic model solutions that serve analytics and AI consumption at scale.

+ Use AI-native development tools and  
** agentic workflows
** to accelerate delivery, testing, documentation, and operational excellence - working in an intent-first, spec-driven model where engineers define intent and approved agents help execute and validate.

+ Contribute to the adoption of intelligent automation and AI-powered engineering across the platform, treating AI as a first-class…