Senior Business Analytics Specialist

Overview

Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers.

If you're excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.

The Business Intelligence Center of Excellence (BI COE) is responsible for delivering AI-first, enterprise-scale analytics that power data-driven decision-making across Microsoft's Partner and Seller ecosystem. Our mission is to transform fragmented data into a single, trusted source of truth, enabling actionable insights, automation, and intelligent experiences.

This Senior Business Analytics Specialist sits at the intersection of AI, data platform engineering, and advanced analytics, driving the integration of Marketing dataset with Partner OSOT data to enable end-to-end partner journey visibility across Mar Tech systems and reporting platforms.

You will play a critical role in shaping the next generation of AI-powered BI solutions, leveraging Microsoft Fabric, Power BI, and semantic modelling to deliver scalable, high-performance, and governed analytics experiences.

Responsibilities

Data Architecture & Semantic Modeling Leadership

* Design and own enterprise-grade semantic models supporting Partner and Marketing analytics.

* Define and implement data architecture standards, modeling patterns, and OSOT-aligned data structures.

* Lead design of integrated data models combining Marketing OSOST and Partner OSOT datasets for unified reporting.

AI-First BI & Analytics Innovation

* Enable AI-driven insights, Copilot scenarios, and intelligent analytics experiences leveraging Fabric and Power BI.

* Build AI-ready semantic layers that support natural language querying, automation, and predictive insights.

* Drive adoption of AI-first principles across BI COE analytics and reporting solutions.

End-to-End Partner Journey Analytics

* Develop holistic analytics solutions that track partner lifecycle across marketing, pipeline, revenue, and engagement systems.

* Translate complex Mar Tech and Partner data into intuitive dashboards and decision-ready insights.

* Ensure alignment to business outcomes such as partner growth, consumption, and engagement metrics.

Data Platform & Engineering Execution

* Lead data engineering pipelines (ingestion, transformation, modeling) within Microsoft Fabric.

* Optimize performance, scalability, and cost of Power BI datasets and Fabric workloads.

* Implement row-level security (RLS), governance, and compliance standards across data assets.

Stakeholder Engagement & Product Mindset

* Partner with Product Managers, Executive Business stakeholders, and Engineering teams to shape roadmap and prioritize BI investments.

* Act as a BI product owner / technical leader, ensuring solutions meet adoption, usability, and ROI goals.

* Drive self-service enablement and data democratization across the Partner ecosystem.

* Deliver a unified, AI-powered analytics platform for Partner + Marketing insights

* Enable single source of truth (OSOT) across partner journeys

* Reduce time-to-insight through optimized semantic models and self-service BI

* Drive adoption of Fabric + AI-first BI strategy across BI COE

Qualifications

Required/minimum qualifications

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Preferred Qualifcations

5+ years of…