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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