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Paid Media Data Analyst, Social

Microsoft

$106,400 - $203,600
Oct 30, 2025
Remote, US
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Microsoft is looking to enable data-driven marketing decisions that drive customer engagement and revenue growth by establishing and promoting social advertising measurement frameworks.

Requirements

  • 4+ years experience in marketing analytics specifically at a Fortune 100 or a media company.
  • 4+ years analyzing social advertising performance and using social platform specific analytics tools (ie Meta Advanced Analytics)
  • Proficiency in data analysis tools and software.
  • Experience interpreting statistical and machine learning model output.
  • Demonstrated understanding of data visualization techniques, BI systems
  • Experience with Mobile app, Media, Social, influencer partnership
  • 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

Responsibilities

  • 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.
  • 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.
  • Evaluate the viability of automated methods for data collection, reporting, and analysis.
  • Understand the relationship between analytical models and business objectives.

Other

  • 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
  • Travel 0-25%
  • 3 days/week in-office
  • Embody our culture and values
  • Degree requirements: Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field