Paid Media Data Analyst

About the Role

As a Paid Media Data Analyst on the Media Data Science and Analytics team within Microsoft's Global Marketing Engines and Experiences (E&E), you will play a critical role in establishing and promoting measurement frameworks that enhance investment decision-making. You will develop reusable, discoverable, and self-service solutions, driving meaningful data interpretation and supporting media optimization. This role requires thriving in fast-paced environments, collaborating across teams, and balancing business context with technical expertise.

Responsibilities

• Improvement and Efficiency:
  • Identify and promote methods to enhance efficiency in analytics and reporting.
  • Ensure solutions are reusable, easily discoverable, and self-service oriented.
  • Drive meaningful data interpretation to inform paid media decisions.
  • Recommend and socialize optimal methods for operationalizing and scaling insights.
  • Share knowledge to transition ad-hoc analyses to regular reporting features.
  • Evaluate automated methods for data collection, reporting, and analysis.
• Model Evaluation:
  • Understand the relationship between analytical models/experiment designs and business objectives.
  • Assess model alignment with business goals and address gaps.
  • Define and promote feedback and evaluation methods.
  • Present results and findings to stakeholders.
• Orchestration and Collaboration:
  • Leverage relationships to ensure alignment and quality execution.
  • Drive adoption of recommended data sources and practices.
  • Proactively engage stakeholders to leverage data and resources.
  • Consult on data sourcing, analyses, and interpretation.
• Reporting and Sharing Results:
  • Share insights via dashboards, reports, and visualizations.
  • Synthesize details to highlight relevant findings.
  • Improve efficiency of insights reporting techniques.
  • Ensure results are accessible and relevant through partnerships.
• Dashboard Builds:
  • Develop and own Power BI dashboards for end-to-end campaign performance.

Qualifications

• Required/Minimum:
  • Master's in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years experience in data analysis, data science, business intelligence, or financial analysis.
  • OR Bachelor's in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years experience in data analysis, data science, business intelligence, or financial analysis.
  • OR equivalent experience.
• Preferred:
  • Master's in relevant field AND 6+ years experience in data analysis, data science, business intelligence, or financial analysis.
  • OR Bachelor's in relevant field AND 8+ years experience in data analysis, data science, business intelligence, or financial analysis.
  • Experience with perception measurement and survey design.

Pay

The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. For specific locations within the San Francisco Bay area and New York City metropolitan area, the range is USD $137,600 - $222,600 per year. Certain roles may be eligible for additional benefits and compensation. Find more information here.