Senior Data Analyst

Overview

MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

The Customer & Commercial Success (CCS) organization, an organization within MCAPS-Core, is the connected engine that turns Microsoft's commercial strategy into execution at scale - making it simpler and faster for the field to win for every customer, in every segment, region, and role. The organization brings together planning, landing, execution excellence, services portfolio and delivery, and field activation across ATU, STU, and CSU to accelerate customer value, drive growth, and strengthen the end-to-end experience across every customer moment.

Our GCS Business Strategy and Resource Planning team is hiring a Senior Data Analyst with solid knowledge of Microsoft's Customer Success business and passion for data. In this high-impact role you will connect business strategy, financials, planning assumptions, and complex data  into a forward-looking resource plan and business recommendations. You will be solving complex cross-organizational problems, manage different priorities simultaneously and engage with different stakeholders and the leadership team.

Ideal candidates should have experience in planning, analytics, finance, and operations, with an acute sense of urgency and accountability. They should be confident working with senior leaders and comfortable operating in a matrix organization.

Microsoft's 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.

Responsibilities

Design & implement resource allocation and demand forecasting models in collaboration with other business planners, delivery and resourcing strategy leads and finance.

Design & implement capacity allocation models by role, customer segment, workload, and all required dimensions tailored to the business needs and complexity. Ensure these models align with business strategy and are validated with the Customer Success stakeholders.

Continuously evaluate and evolve models, methodologies, and assumptions to improve accuracy, address changing business requirements, and support sound decisions..

Translate complex data into clear, actionable narratives that drive strategy and execution and provide data driven insights and recommendations on delivery strategy and resource recommendations.

Collaborate with diverse set of stakeholders such as finance, Customer Success leadership and Offerings design teams in order to incorporate changes in the business into the demand forecast and capacity allocation models.

Analyze complex quantitative and qualitative datasets, identify trends and risks, challenge assumptions, and convert findings into concise, actionable recommendations.

Support resolution of complex business problems impacting our resource allocation.

Identify trends in the business, financial results and delivery data to improve model business requirements and insights.

Partner with the regional planning teams to land the capacity model, supporting them with insights, and clarity about the modeling assumptions and data points.

Provide senior leadership with analytics and insights during regular review sessions.

Drive complex, cross-functional issues to resolution under tight timelines, managing shifting priorities and making progress despite ambiguity or incomplete information.

Qualifications

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

Additional Preferred Qualifications:

Masters Degree in 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 Bachelors Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis

OR equivalent experience.

Influential Communicator: Able to influence others using logical and strategic thinking to motivate a diverse organization towards a collective goal with precision.

Sound Decision-Making: Possesses sound judgment that incorporates analysis, a pragmatic approach, and consideration of business goals and stakeholder priorities.

Proactive and forward-thinking: Able to effectively and quickly synthesize disparate information into clear recommendations, actions, and decisions.

Effective Project Management: Top-notch project management skills, with the ability to drive for results across a distributed set of stakeholders across multiple projects.

Detail-oriented, strategic, and data-driven: Can work with both quantitative and qualitative data.

Independent and self-managing: Thrives in a dynamic environment and manages ambiguity and competing priorities while producing the best results.

Strategic and Execution-Oriented: Comfortable flexing between strategy and the practical details of execution; able to comfortably manage multiple projects, switching seamlessly between them.

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.