This role pays less than
62%
of similar roles. Most pay
$131,803–$187,817
— the shaded band above.
At the midpoint, this role pays about
$155k
versus about
$160k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
686 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 666 roles with salary data.
As a Senior Data Analyst within the Monetization Strategy and Licensing team, you will serve as a strategic partner to functional teams to improve operational efficiency through data models and insights. You will lead AI and automation systems performance reporting by leveraging telemetry data, establish KPIs to measure automation effectiveness, and develop analytical frameworks that inform go-to-market decisions. Your daily work involves identifying connections across diverse data sources, determining appropriate analytical techniques, and simplifying complex findings for stakeholders. To succeed in this role, you must possess expertise in building PowerBI dashboards, developing semantic models on Microsoft Fabric, and creating ETL solutions within Azure or other cloud platforms. You will solve critical business problems regarding pricing, packaging, and licensing by ensuring data accuracy while navigating complex privacy requirements to support the broader monetization strategy.
What does a Data Analyst earn?
Median $135000 from 39 postings across 19 companies.
Lead performance reporting for AI and automation systems using telemetry data.
Partner with leadership to establish KPIs that measure the effectiveness of AI automation.
Develop analytical frameworks by identifying connections across diverse data sources.
Determine appropriate analytical techniques and critically evaluate underlying assumptions.
Simplify complex findings into accurate, accessible insights for stakeholders.
Recommend efficiency improvements and evaluate automated data collection methods.
Review analytical models to ensure accuracy and identify technical deficiencies.
Ensure all data handling complies with established privacy requirements.
What we're looking for
Master's degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 2+ years of relevant experience.
Bachelor's degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of relevant experience.
Equivalent experience to the specified education and experience requirements.
Master's degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 4+ years of relevant experience (preferred).
Bachelor's degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field and 6+ years of relevant experience (preferred).
4+ years of experience building PowerBI dashboards and 2+ years of experience building semantic models on Microsoft Fabric (preferred).
Experience building extract transform and load (ETL/ELT) solutions in Azure or any other cloud platform (preferred).
Power Automate
Microsoft Power Platform
Microsoft 365
Excel
SharePoint
Teams
Agile
Scrum
UAT
Azure DevOps
Jira
ServiceNow
Project Portfolio Management
Workflow Automation
Change Management
SQL
Python
R
SAS
Power BI
Tableau
Qlik
Data Modeling
Data Visualization
Machine Learning
Artificial Intelligence
IoT
Data Governance
Data Migration
Statistics
Data Transformation
Machine Learning
Statistics
Data Science
Entity Resolution
Record Linkage
Fuzzy Matching
Clinical Ontologies
Healthcare Data
Experiment Design
data - cleansing