Senior Manager - Data Analytics

Microsoft's Audit, Risk and Compliance (ARC) organization is building a data-driven capability to complement traditional assurance work. This role is focused on proactive discovery: identifying emerging risks, “soft”  signals, and systemic patterns by connecting data across organizational seams that complements traditional audit coverage models.   

As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to surface insights that are not readily visible — translating raw signals from audit findings, ethics and compliance data, investigation outcomes, and management actions into forward-looking risk intelligence.

This is not a traditional audit, reporting, or business intelligence role. This Senior Manager - Data Analytics role is designed to help ARC answer the question: "Where should we be looking that we aren't today?" Success will depend as much on curiosity, contextual judgment, and speed of iteration as on technical skill.

• Analyze large and diverse datasets across ARC — including audit findings, ethics and compliance signals, investigation data, and management action items — to uncover risk signals and patterns not visible through standard coverage approaches.
• Develop and test analytical hypotheses in a rapid, experimental model; iterate on approaches across weeks rather than quarters and document learnings from both successful and unsuccessful analyses.
• Connect disparate data sources across organizational boundaries to surface systemic risks, emerging trends, and areas that warrant proactive audit attention.
• Apply a "red team" lens to ARC's risk landscape: scan broadly across data, generate new hypotheses about where risk may be concentrating, and present findings that challenge existing assumptions.
• Determine appropriate analytical and statistical techniques to address audit and risk research questions; execute analyses and interpret results with clear, actionable recommendations.
• Build and maintain reusable analytical frameworks, models, and self-service reporting solutions that improve ARC's ongoing visibility into enterprise risk.
• Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams.
• Translate analytical findings into clear risk narratives — presenting insights through dashboards, visualizations, reports, and talking points tailored to audit, compliance, and leadership audiences.
• Share and simplify complex analyses into accessible summaries that enable decision-makers to act on data-driven recommendations quickly.
• Work within and across teams — including audit leads, investigation teams, compliance operations, and data engineering — to align data sources, methodologies, analytical tools, and business priorities.
• Support and advise on the design of formal experiments or analytical frameworks to evaluate the impact of new audit approaches, risk controls, or operational changes.
• Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work.
• Embody Microsoft's culture and values, modeling a growth mindset, curiosity, and a commitment to inclusion.

Required/minimum qualifications

Additional or preferred qualifications 

• Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations — through prior roles, internships, or coursework.
• Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
• Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).
• Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent).
• Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses.
• 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field — including experience analyzing datasets to answer business or research questions.
• Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
• Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.
  

Data 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.