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Senior Marketing Data Analyst - Social Analytics Lead

United States, Redmond 106400.00 - 203600.00 USD / Year · Job Posted January 31, 2026
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Job Description

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 Marketing Analytics and Data Science team within E&E enables data-driven decision making by providing data products and insights that measure marketing's performance and impact, deepen understanding of customer behavior, and drive marketing efficiency and ROI. We are looking for a Senior Marketing Data Analyst – Social Analytics Lead who thrives at the intersection of social intelligence, data analytics, and business impact - someone who can transform complex social data into strategic narratives that influence brand positioning, competitive strategy, and marketing investment decisions.

Job Responsibility

  • Social Listening & Brand Intelligence: Own the end-to-end social listening strategy and execution to monitor brand health, product sentiment, campaign performance, customer feedback, and emerging trends across all Microsoft properties and competitive landscapes
  • Build and optimize social analytics frameworks that connect social conversations, influencer content, and competitive activities to business outcomes including brand perception, share of voice, registrations, and pipeline performance
  • Identify patterns, sentiment drivers, and conversation trends in social data to inform brand positioning, content strategy, and crisis response protocols
  • Establish measurement standards and KPIs for social listening programs across E&E and partner organizations
  • Influencer Analytics & Measurement: Design and implement comprehensive influencer analytics frameworks to measure influencer impact, reach, engagement quality, sentiment influence, and return on investment across paid and organic social campaigns
  • Integrate Sprinklr influencer data with campaign performance systems (Adobe, Marketo) to attribute influencer activities to key outcomes like registrations, content engagement, and customer advocacy
  • Develop executive-ready influencer performance dashboards that clearly communicate influencer contribution to brand awareness, consideration, and demand generation
  • Partner with Brand and PMM teams to optimize influencer selection, content strategies, and investment allocation based on data-driven insights
  • Competitive Intelligence & Market Positioning: Own competitive intelligence reporting and analysis, tracking competitor social strategies, share of voice, sentiment trends, campaign tactics, and market positioning across key product categories and business segments
  • Surface emerging threats, opportunities, and market shifts through proactive social monitoring and deliver timely, actionable competitive insights to Brand, PMM, CI, and senior leadership
  • Build automated competitive dashboards that enable stakeholders to understand Microsoft's position relative to competitors in real-time across social channels
  • Collaborate with Customer Insights teams to triangulate social intelligence with broader market research and customer feedback data
  • Executive Reporting & Strategic Partnership: Develop automated, executive-ready social analytics dashboards that clearly communicate social performance, brand health metrics, influencer ROI, competitive positioning, and social channel contribution to business outcomes
  • Partner with Brand, Product Marketing Managers, Customer Insights, PR, and demand generation teams to translate social insights into recommendations that improve content strategy, channel efficiency, and brand narrative
  • Deliver recurring social intelligence packages that support leadership decision cycles, business planning rhythms, and strategic marketing reviews
  • Serve as a strategic advisor and thought leader on social analytics, influencer measurement, and competitive intelligence across E&E and the broader marketing organization
  • Analytics Development & Enablement: Design and implement scalable social analytics tools and self-service dashboards in Power BI that democratize access to social performance insights across stakeholder teams
  • Collaborate with Data Services to ensure Sprinklr data and social datasets are accurate, integrated with the broader marketing data ecosystem, compliant, and ready for analytical use
  • Apply statistical and analytical techniques (e.g., sentiment analysis, text analytics, time-series forecasting, correlation analysis) to assess social campaign effectiveness, predict brand health trends, and uncover causal relationships
  • Storytelling & Business Impact: Transform social data into compelling business narratives, bridging social conversations, influencer activities, competitive dynamics, customer behavior, and measurable business impact
  • Partner cross-functionally with Brand, PMM, CI, engineering, and media teams to inform social investment and optimization decisions with data-driven recommendations
  • Champion the value of social analytics as a strategic capability, educating stakeholders on methodologies, best practices, and emerging opportunities in social intelligence

Requirements

  • 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
  • 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

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