Senior Data Analyst

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$106,400–$203,600 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Apr 21, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $155k
$95k $215k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $126,800–$197,000 — the blue band above. At the midpoint, this role pays about $155k versus about $162k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Data Analyst

The Senior Data Analyst joins the Office of the Chief Economist to transform ambiguous business questions into actionable recommendations for organizations like Microsoft 365 and Azure. This role involves translating complex business problems into rigorous analytical frameworks, performing descriptive and statistical analysis, and developing reusable analytical tools. You will analyze large datasets using SQL and Python or R while designing and optimizing scalable Power BI semantic models using DAX and dimensional modeling. Key responsibilities include defining shared metrics, designing impact evaluations, and collaborating with economists and data scientists to apply methods in prediction, causal inference, and experimentation. The work focuses on identifying opportunities to drive business impact, quantifying relationships, and diagnosing business outcomes to inform measurable decisions across major business units.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Translate ambiguous business questions into well-defined analytical problems and analysis plans.
  • Analyze large and complex datasets using SQL and Python or R.
  • Apply statistical methods to identify patterns, quantify relationships, and diagnose business outcomes.
  • Design and optimize scalable Power BI semantic models using DAX and dimensional modeling.
  • Define and maintain shared metrics and business logic to ensure consistent reporting.
  • Design impact evaluations including hypotheses, success metrics, and result interpretations.
  • Build reusable analytical tools and data products to enable repeatable decision-making.

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.
  • Equivalent professional experience to the degree and years of experience requirements.
  • Proficiency in analyzing large datasets using SQL and a general-purpose programming language such as Python or R.
  • Ability to apply statistical and analytical methods to identify patterns, quantify relationships, and develop actionable insights.
  • Experience designing and optimizing scalable Power BI semantic models using DAX and dimensional modeling techniques.
  • Experience applying statistics or data science to pricing, monetization, or related business problems (preferred).
  • Experience building Power BI dashboards and semantic models on Microsoft Fabric (preferred).

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