Senior Data Analyst

Are you passionate about using cutting-edge technologies & capabilities across Microsofts Intelligent Data Platform Do you strive to improve customer experience and business performance Do you like to affect change at a billion-dollar global user scale company and deliver improvements that result in material impact If yes we want you in Monetization and Business Planning (MBP)!

Our organization directs the commercial portfolios pricing packaging licensing channel and monetization strategies. As a Senior Data Analyst in the Monetization Strategy and Licensing team you will act as a strategic partner to functional teams responsible for improving operational efficiency by delivering insights and data models that impact how go-to-market decisions are made. You will become an integral part of how we scale Microsofts monetization strategy. You will develop your career forge effective cross-functional relationships take on progressively broader responsibilities and establish yourself as a strategic advisor. You can expect to have sponsorship for your work support for your professional development and encouragement to bring your authentic self to work.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• Lead AI and Automation systems performance reporting leveraging telemetry from our automation systems to provide insights to our partners.

• Partner with our business and engineering leaders to set up KPIs to measure effectiveness of AI automation

• Identify connections across data sources and contribute to the development of analytical frameworks as you develop an understanding of the business.

• Leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus.

• Identify and leverage appropriate sources of data and contribute to the development of recommendations.

• Determine appropriate analytical techniques and critically evaluate assumptions.

• Share and simplify relevant findings and insights and ensure presented results are accessible and accurate.

• Support and/or consult with other teams and identify relevant data-driven recommendations.

• Recommend efficiency improvements for core work and evaluate the viability of automated data collection methods.

• Understand linkages between analytical models and contribute to the review processand if the model is deemed deficientseek to determine why.

• Work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities.

• Stay abreast of privacy requirements and ensure data have undergone appropriate reviews.

• Embody our culture and values .

Required Qualifications

• Masters Degree in 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 Bachelors Degree in Statistics Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 4 years experience in data analysis and reporting data science business intelligence or business and financial analysis

• • OR equivalent experience.

Preferred Qualifications

• Masters Degree in Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 4 years experience in data analysis and reporting data science business intelligence or business and financial analysis

• • OR Bachelors Degree in Statistics Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 6 years experience in data analysis and reporting data science business intelligence or business and financial analysis

• • OR equivalent experience.

• 4 years of experience in building PowerBI dashboards and 2 years of experience in building semantic models on Microsoft Fabric.

• Experience building extract transform and load (ETL/ELT) solutions in Azure or any other cloud platform.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106400 - $203600 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 $137600 - $222600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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.

Required Experience:

IC