Microsoft

Senior Data Analyst, Media Data Science & Analytics (eCommerce)

Microsoft • $106K — $203K *
Mountain View, CA 94040In-Person
Media
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's or Bachelor's Degree in a relevant field (Analytics, Data Science, Computer Science, etc.) and significant experience in data analysis and reporting.
  • Strong proficiency in SQL for querying large datasets and integrating data from various sources.
  • Ability to communicate complex analytical insights clearly to non-technical stakeholders.
  • Experience in measuring web or eCommerce performance metrics such as conversion and engagement.
  • Proven skills in building dashboards and reusable reporting tools, preferably with Power BI.
  • Familiarity with experimentation concepts and analytics tools like Adobe Analytics.
  • Experience with AI-assisted tools to enhance analytics processes.

Responsibilities

  • Build and maintain dashboards and self-serve analytics for eCommerce and marketing partners.
  • Analyze the customer journey through eCommerce to connect behavior with business outcomes.
  • Investigate performance metrics to uncover actionable insights and trends for partners.
  • Integrate data from multiple sources, ensuring quality and reliability of analytical outputs.
  • Establish consistent KPI definitions and reporting standards for scalability.
  • Identify drivers of performance changes to inform strategic actions for partners.
  • Support A/B testing and experiments to validate the impact of eCommerce enhancements.

Benefits

  • Opportunity to work at a leading tech company with a focus on innovation.
  • Access to cutting-edge tools and technologies, including AI-powered analytics.
  • Collaborative work environment across diverse teams and disciplines.
  • Career growth and development opportunities within a global organization.
  • Flexible work arrangements to support work-life balance.
Full Job Description
Overview

We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.

We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. To support this transformation, we are seeking a Senior Data Analyst, Media Data Science & Analytics (eCommerce) to serve as the analytical engine behind Microsoft's eCommerce business.

Responsibilities
  • Dashboards & Self-Serve Analytics - Build and maintain dashboards, reports, and self-serve analytics that give eCommerce, web, and marketing partners timely, accurate visibility into commerce performance across Microsoft's owned digital storefronts - so they can focus on acting on insights rather than wrangling data.


  • Funnel Measurement - Analyze the web and eCommerce journey - from acquisition and on-site engagement through sign-up, checkout, conversion, and revenue - connecting customer behavior to the durable business outcomes our partners own, such as gross adds, conversion, and revenue.


  • Deep-Dive Analysis - Investigate revenue, product and offer performance, customer behavior, and operational efficiency to surface actionable insights for partners, proactively bringing trends, anomalies, and opportunities forward without waiting to be asked.


  • Trustworthy Data Foundation - Integrate data from multiple sources and partner closely with Data Engineering, Finance, Web data teams, and other partners to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled, analytics-ready single source of truth.


  • Metric & Reporting Standards - Help establish consistent Key Performance Indicator (KPI) and metric definitions, reporting standards, and documentation practices that scale as the analytics function and its self-serve tools grow - so partner teams work from the same metrics language.


  • Performance Driver Analysis - Identify and quantify drivers of performance change - including product and offer launches, merchandising and promotional changes, technical factors, seasonal patterns, and external events - so partners know what's real and what to act on.


  • Experimentation - Support experimentation - such as A/B tests and web experience changes - to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.


  • Work Smarter with AI - Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis, automate recurring reporting workflows, and move from manual, reactive reporting toward proactive, scalable insight that reaches partners faster.


  • Translate, Communicate & Partner - Turn ambiguous business questions into structured analytical frameworks, deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations, and collaborate cross-functionally with eCommerce, web experience, engineering, and marketing partners to prioritize improvements grounded in data.
  • Other - Embody our Culture and Values


Qualifications

Required/ minimum qualifications

  • 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.


Additional or preferred qualifications

  • 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.
  • Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
  • Experience communicating analytical insights to stakeholders to inform decisions.
  • Experience measuring web or eCommerce performance - such as acquisition, engagement, conversion, or revenue.
  • Experience building dashboards or reusable reporting assets (e.g., Power BI).
  • Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
  • Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
  • Familiarity with experimentation or attribution concepts.
  • Experience using AI-assisted analytics tools (e.g., Microsoft Copilot) to accelerate analysis and automate reporting.
  • Experience establishing KPI or metric definitions, reporting standards, or documentation for a growing analytics function.


Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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