Microsoft · 2 hours ago
Marketing Data Analyst - Events Analytics
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$106K/yr - $204K/yr
6+ years expMicrosoft's Global Marketing Engines and Experiences (E&E) team is seeking a Senior Marketing Data Analyst - Events Analytics to drive data-driven decision making within marketing. The role involves owning the analytics strategy for events, creating performance dashboards, and optimizing demand generation initiatives to enhance customer engagement and event success.
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Responsibilities
Own the end-to-end events analytics strategy and measurement framework for all Microsoft marketing events including flagship global events (Ignite, Build, AI Tour), regional experiences, virtual events, hybrid formats, and industry conferences
Design and implement comprehensive event performance dashboards tracking registration trends, attendance rates, no-show patterns, session engagement, attendee quality metrics (by segment, MAL score, job title, industry), and post-event outcomes
Establish standardized key performance indicators, benchmarks, and measurement methodologies for event success across different event formats, scales, and business objectives
Develop near-real-time reporting capabilities that enable event teams to monitor performance, identify at-risk metrics, and optimize during pre-event, live event, and post-event phases
Build and optimize multichannel attribution models that connect demand generation activities - email campaigns, paid media, social promotions, blog content, seller outreach, influencer engagement - to event registrations, attendance, and pipeline outcomes
Integrate and normalize data across Adobe Analytics, Marketo, Sprinklr, event registration systems (Stova, Cvent, proprietary platforms), email platforms, and paid media tools to create a unified view of demand generation performance
Analyze traffic channel effectiveness, conversion funnel performance, and audience journey patterns to identify which channels and tactics drive the highest quality registrations and attendance
Develop channel ROI frameworks that evaluate cost per registration, cost per attendee, cost per qualified lead, and customer lifetime value (CLTV) contribution by channel and campaign
Design analytics frameworks to measure the full attendee lifecycle—from initial awareness and consideration through registration, pre-event engagement, live event participation, session attendance, content consumption, networking activity, and post-event follow-up
Track and analyze attendee engagement signals including session registrations, virtual booth visits, content downloads, Q&A participation, networking connections, survey responses, and post-event content engagement
Identify patterns and segments in attendee behavior to inform personalization strategies, content recommendations, and targeted follow-up campaigns
Collaborate with Customer Insights teams to connect event engagement data with broader customer behavior signals and predictive models
Design and implement scalable event reporting tools and self-service dashboards in Power BI that democratize access to event performance insights across Event Marketing, Demand Generation, Product Marketing, Brand, and regional marketing teams
Collaborate with Data Services to ensure event registration data, web analytics data, marketing automation data, and sales data are accurate, integrated, compliant, and ready for analytical use
Apply statistical and analytical techniques (e.g., regression modeling, funnel analysis, cohort analysis, A/B testing, time-series forecasting) to assess campaign effectiveness, channel performance, and attendee behavior patterns Develop experimentation frameworks to enable rigorous testing of event marketing tactics, channel strategies, and audience targeting approaches
Qualification
Required
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
Preferred
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
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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