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

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$106,400–$203,600 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Mar 30, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $155k
$93k most similar roles pay here $230k

This role pays less than 65% of similar roles. Most pay $144,882–$214,000 — the shaded band above. At the midpoint, this role pays about $155k versus about $179k 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 597 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 570 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst, Media Data Science & Analytics (eCommerce)

The Senior Data Analyst, Media Data Science & Analytics (eCommerce) joins the Media Data Science & Analytics team to serve as the analytical engine for the eCommerce business. This role involves building and maintaining dashboards, performing deep-dive analyses on revenue and customer behavior, and establishing consistent KPI definitions and reporting standards. You will analyze the web journey from acquisition through conversion while identifying performance drivers like promotional changes or seasonal patterns. The work focuses on solving complex problems regarding how to measure, analyze, and optimize digital experiences and paid media. To succeed, you will utilize SQL, Python, Power BI, Adobe Analytics, and AI-assisted tools like Microsoft Copilot. You will also support experimentation through A/B testing to evaluate improvements while translating ambiguous business questions into structured analytical frameworks for both technical and non-technical audiences.

What does a Data Analyst earn?

Median $127875 from 54 postings across 18 companies.

See salary data

What you'll do

  • Build and maintain dashboards and self-serve tools to provide partners with visibility into eCommerce performance.
  • Analyze the full customer journey from acquisition and engagement through checkout and revenue generation.
  • Conduct deep-dive investigations into product performance, customer behavior, and operational efficiency to find actionable insights.
  • Integrate data from multiple sources to ensure a reliable, well-modeled single source of truth for reporting.
  • Establish consistent KPI definitions, reporting standards, and documentation practices across the analytics function.
  • Identify and quantify drivers of performance changes such as promotions, seasonal patterns, and technical factors.
  • Support A/B testing and experimentation to evaluate the impact of eCommerce improvements.
  • Utilize AI-assisted tools like Microsoft Copilot to automate workflows and accelerate data analysis.

What we're looking for

  • Master's degree in a quantitative field and 2+ years of experience in data analysis, data science, business intelligence, or financial analysis.
  • Bachelor's degree in a quantitative field and 4+ years of experience in data analysis, data science, business intelligence, or financial analysis.
  • Experience querying and analyzing large datasets using SQL.
  • Experience building dashboards or reusable reporting assets like Power BI.
  • Experience measuring web or eCommerce performance including acquisition, engagement, conversion, and revenue.
  • Experience communicating analytical insights to stakeholders to inform decisions (preferred).
  • Experience with Python or similar tools for analysis or automation (preferred).
  • Experience using Adobe Analytics or similar tools, AI-assisted analytics tools, or establishing KPI definitions (preferred).

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