HR Business Analyst - Compensation

Microsoft’s Total Rewards organization focuses on designing, delivering, maintaining, and evolving compensation programs that support Microsoft’s pay priorities, particularly in sales compensation.

• Master's or Bachelor's degree in Human Resources, Business, Data Analytics, Mathematics, or related field, or equivalent experience
• Experience in compensation, data analytics, human resources, finance, or related fields
• Experience in complex data modelling and workforce impact analysis
• Experience working with large datasets and modern data platforms (Azure, Databricks, Fabric)
• Experience delivering results across complex multi-country organizations
• Proficiency in data visualization tools (Power BI, Excel, or equivalent)
• Project management experience (preferred)
• Compensation program design experience (preferred)

Drive Insight, Not Just Analysis:

• Translate ambiguous business questions into structured analytical problems and hypotheses
• Synthesize data across multiple sources to identify patterns, risks, and opportunities
• Provide clear recommendations and trade-offs
• Anticipate business questions and proactively generate insights

Connect Data to Business Reality:

• Partner with Compensation, Finance, and Sales Operations to interpret data related to quota, incentive design, capacity, and performance dynamics
• Translate analytical findings into business-relevant implications and decisions

Build Scalable Analytics & Automation:

• Design and implement scalable data models, dashboards, and analytical tools
• Leverage modern data environments (Azure, Databricks, Fabric) to work with large datasets
• Use AI tools (Copilot, LLMs, agents) to automate analysis and improve decision velocity
• Continuously improve data quality, accessibility, and governance

Lead Analytical Initiatives End-to-End:

• Structure, plan, and drive complex analytical initiatives from problem definition through delivery
• Ensure alignment across stakeholders and delivery against scope, timelines, and objectives
• Apply structured methodologies while remaining adaptable

Elevate Data Storytelling & Influence:

• Translate complex analyses into clear, executive-ready narratives
• Influence decision-making through insight-driven communication
• Enable stakeholders to self-serve insights where appropriate

Shape the Analytics Discipline:

• Identify gaps in data, tooling, and processes and propose scalable solutions
• Improve team data usage for consistency, governance, and speed
• Act as a thought partner to senior stakeholders across HR, Finance, and Sales

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to age, ancestry, citizenship, color, 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. Assistance with religious accommodations and disability accommodations is available during the application process.