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 MarTech 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 MarTech 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
Preferred Qualifcations
5+ years of experience in Business Intelligence, Data Engineering, or Analytics.
Semantic modeling (Power BI / Tabular / DAX) experience.
Data architecture and dimensional modeling (star schema, OSOT principles) experience.
Microsoft Fabric (Lakehouse, Direct Lake, pipelines, OneLake) experience.
Power BI (dataset optimization, reporting, governance) experience.
Experience building end-to-end data pipelines and analytics solutions at scale.
Understanding of data governance, security, and compliance frameworks.
Experience in Partner ecosystem, Sales/Marketing analytics, or MarTech data integration.
Familiarity with AI-driven BI scenarios (Copilot, predictive analytics, data agents).
Experience integrating multiple enterprise datasets into unified reporting models.
Experience in matrixed, cross-functional environments and influence stakeholders.
Storytelling skills with ability to translate data into business impact.
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- 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.
- 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.
- Equivalent experience in data analysis, reporting, business intelligence, or business and financial analysis.
- 5+ years of experience in Business Intelligence, Data Engineering, or Analytics.
- Semantic modeling experience (Power BI / Tabular / DAX).
- Data architecture and dimensional modeling (star schema, OSOT principles).
- Microsoft Fabric experience (Lakehouse, Direct Lake, pipelines, OneLake).
- Power BI dataset optimization, reporting, and governance experience.
- Experience building end-to-end data pipelines and analytics solutions at scale.
- Understanding of data governance, security, and compliance frameworks.
- Experience integrating MarTech, Partner, Sales, and enterprise datasets into unified reporting models.
- Familiarity with AI-driven BI scenarios (Copilot, predictive analytics, data agents).
- Experience working in matrixed, cross-functional environments and influencing stakeholders.
- Storytelling skills with ability to translate data into business impact.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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