Customer Growth Data Analyst

The Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans. The Media Data Science and Analytics team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop systems of learning for marketers. In this role, you'll directly support Microsoft's mission by enabling data-driven marketing decisions that drive customer engagement and revenue growth.

As a Customer Growth Analyst on the Media Data Science and Analytics team, you will play a critical role in establishing and promoting measurement frameworks that create better investment decision making. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, driving meaningful interpretation of data, and supporting campaign optimization. The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential.

In this role, you will support the rhythm of business by providing actionable recommendations to stakeholders based on rigorous analysis and clear insights. You will leverage analytical techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, communication skills, and the confidence to engage with executives and stakeholders across the business.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

#EandEJobs

Responsibilities:

Improvement and Efficiency

• Identify and promote methods that enhance efficiency in analytics and reporting.
• Ensure solutions are reusable, easily discoverable, and self-service oriented.
• Drive meaningful data interpretation to inform business decisions and shape organizational understanding through compelling storytelling.
• Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.
• Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.
• Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.
• Evaluate the viability of automated methods for data collection, reporting, and analysis.

Experimentation Evaluation

• Understand the relationship between experimentation design and business objectives.
• Establish clear linkage between A/B test results and desired business outcomes.
• Assess the degree to which campaigns meet business objectives and address gaps.
• Ensure alignment on definitions and standards across stakeholders.
• Define, design, and promote appropriate feedback and evaluation methods.
• Coach and mentor less experienced analysts, as needed, and enable cross-functional partners to become data-savvy.
• Present results and findings to senior stakeholders.

Orchestration and Collaboration

• Leverage working relationships within and across teams to ensure alignment and quality execution.
• Drive the adoption of recommended data sources and analysis practices.
• Proactively engage stakeholders to identify and act on opportunities to leverage data and resources.
• Consult across teams and influence data strategy, experimentation culture, and measurement frameworks on decisions related to data sourcing, analyses, and interpretation of results.

Reporting and Sharing Results

• Share insights and analytical experience through various means, including dashboards, reports, and visualizations.
• Synthesize and simplify details across analyses to highlight relevant findings.
• Identify opportunities to improve the efficiency of insights reporting techniques.
• Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.
• Other
• Embody our culture and values .

Qualifications:

Required/minimum qualifications

• Master's 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 Bachelor's 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.
• 4+ years of experience with data analysis tools (e.g., SQL, Python, R) and visualization platforms (e.g., Power BI, Tableau, Looker), including DAX and Microsoft Fabric.
• 4+ years of experience leading technical efforts and collaborating effectively with cross-functional teams (Product, Engineering).
• 4+ years of experience presenting complex data insights to both technical and non-technical senior level stakeholders.
• 2+ years' experience interpreting statistical modeling results or analyzing a/b experiments.
• 2+ years' experience analyzing marketing campaign performance.

Additional or preferred qualifications

• Master's 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 Bachelor's 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.

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: ;br>
Microsoft will accept applications for the role until October 31, 2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.