Microsoft
The Global Marketing Engines and Experiences (E&E) team within Microsoft is responsible for delivering integrated marketing experiences 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 enables data‑driven decision making by providing data products and insights to measure marketing performance and impact, understand the customer experience, and develop systems of learning.
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. You will develop reusable, self‑service solutions, support campaign optimization, and provide actionable recommendations to stakeholders through rigorous analysis and clear insights. You will engage with executives and stakeholders across the business using sharp analytical thinking, communication skills, and confidence.
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 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.
Embody our culture and values.
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. Specific ranges apply to the San Francisco Bay area and New York City metropolitan area: USD $137,600 – $222,600 per year.
Microsoft will accept applications for the role until October 31, 2025.
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.
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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. You will develop reusable, self‑service solutions, support campaign optimization, and provide actionable recommendations to stakeholders through rigorous analysis and clear insights. You will engage with executives and stakeholders across the business using sharp analytical thinking, communication skills, and confidence.
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 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.
Embody our culture and values.
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. Specific ranges apply to the San Francisco Bay area and New York City metropolitan area: USD $137,600 – $222,600 per year.
Microsoft will accept applications for the role until October 31, 2025.
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.
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