Data Analytics

Microsoft Security aims to make the world a safer place for everyone. Our mission is to reshape security and empower every user, customer, and developer with a security cloud that delivers end-to-end, simplified solutions.

The Central Fraud and Abuse Risk (CFAR) team is seeking a Data Analytics professional who will help us protect our customers and our company by eradicating fraud and service abuse across the Microsoft ecosystem. Our goal is to minimize financial and reputational harm by preventing, detecting, and addressing fraud.

As a CFAR Data Analytics professional, your role involves understanding the business needs of internal stakeholders and integrating that knowledge with a deep understanding of the data landscape. You'll focus on understanding and harnessing diverse data sources, conducting thorough analyses, and deriving actionable and visually intuitive insights that drive our mission forward through leveraging the power of generative AI and the action-orientation of agentic AI.

Responsibilities

• Identify appropriate analytical techniques, conduct analyses, and provide actionable recommendations to address business questions at scale, using the latest available tools
• Collaborate across teams to ensure consistency in data sources, methods, models, tools, and business priorities, to build reusable and sharable improvement techniques
• Develop experiments and prototypes using a deep understanding business process and underlying data structures to drive meaningful recommendations for actions to CFAR’s fraud reduction remit
• Translate the work of our data scientists’ custom machine learning models and generative AI into intuitive, context-sensitive insights for internal stakeholder decision-making
• Analyze and implement new AI tools and algorithms to help simplify fraud pattern recognition and human understanding to enable CFAR solutions that better address fraud
• Stay current on Microsoft data privacy and security standards as well as regulatory and ethical requirements to ensure proper data handling and compliant analytic solutions
  
  

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field.
• OR equivalent experience.
  

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  
  

Preferred qualifications:  

• Experience working with cloud computing platforms like Azure, AWS.
• Microsoft Certified: Fabric Analytics Engineer Associate.
• Experience using generative AI tools, configuring AI agents and presenting findings.
  
  

Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $83,400 - $167,800 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 $108,900 - $183,000 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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.