Senior Data Analyst at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Attribution Modeling, Statistical Techniques, Data Integration, Dashboard Development, Campaign Effectiveness, Marketing Performance, B2B Marketing, Data Processing, Regression Analysis, Time-Series Forecasting, Data Normalization, Media Optimization, Reporting Packages, Quantitative Methods, Self-Service Dashboards

Industry

Software Development

Description

Channel Attribution & Marketing Impact Build and optimize attribution models that connect social, paid, and email channels to registrations, event attendance, and pipeline outcomes. Integrate and normalize data across Adobe, Marketo, Sprinklr, and event systems to create a unified view of marketing performance. Identify patterns and correlations in multichannel engagement data to inform targeting and media optimization strategies. Develop automated, executive-ready dashboards that clearly communicate marketing performance, ROI, and channel contribution to business outcomes. Deliver recurring reporting packages that support leadership decision cycles and business planning rhythms. Design and implement scalable reporting tools and self-service dashboards that democratize access to performance insights. Collaborate with Data Services to ensure underlying datasets are accurate, compliant, and ready for analytical use. Apply statistical and analytical techniques (e.g., regression, time-series forecasting) to assess campaign effectiveness and predict performance trends. 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. 4+ years of hands-on experience analyzing B2B marketing performance data, with a focus on attribution modeling, social media engagement metrics, and awareness of paid media/acquisition campaigns. 4+ years experience proven ability to integrate and interpret multi-touch attribution data, lead and account-level profiles, and marketing/sales funnel analytics from disparate sources (CRM, ad platforms, social channels, and internal data systems). 4+ years of experience applying quantitative methods, data modeling, and statistical techniques to optimize marketing ROI and channel performance. 4+ years building attribution frameworks and incrementality testing for paid and organic social campaigns. 4+ years writing efficient, readable, and extensible code for data processing and modeling.

Responsibilities

Build and optimize attribution models to connect various marketing channels to business outcomes. Develop automated dashboards and reporting packages to communicate marketing performance and support leadership decision-making.