Microsoft

Senior Data Analyst

Microsoft$106K — $203K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in a quantitative field with 2+ years of relevant experience, or Bachelor's Degree with 4+ years of experience, or equivalent experience.
  • 4+ years of experience building PowerBI dashboards and 2+ years in semantic models on Microsoft Fabric.
  • Experience in developing ETL/ELT solutions in Azure or other cloud platforms.

Responsibilities

  • Lead performance reporting for AI and Automation systems using telemetry data.
  • Partner with leaders to establish KPIs for AI automation effectiveness.
  • Identify data source connections to build analytical frameworks.
  • Examine projects through a customer-centric lens based on business understanding.
  • Develop recommendations by utilizing appropriate data sources.
  • Evaluate assumptions using suitable analytical techniques.
  • Communicate findings clearly and make results accessible to stakeholders.
  • Consult with teams to provide data-driven insights for improvements.
  • Explore efficiency enhancements and automated data collection methods.
  • Assess analytical models and identify potential deficiencies.
  • Collaborate across teams for data alignment and stakeholder engagement.
  • Stay updated on privacy compliance and conduct data reviews.
  • Promote and embody company culture and values.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) plan with company match.
  • Generous paid time off and holidays.
  • Employee assistance programs.
  • Opportunities for professional development and training.
Full Job Description
Responsibilities

  • Lead AI and Automation systems performance reporting, leveraging telemetry from our automation systems to provide insights to our partners.


  • Partner with our business and engineering leaders to set up KPIs to measure effectiveness of AI automation


  • Identify connections across data sources and contribute to the development of analytical frameworks as you develop an understanding of the business.


  • Leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus.


  • Identify and leverage appropriate sources of data and contribute to the development of recommendations.


  • Determine appropriate analytical techniques and critically evaluate assumptions.


  • Share and simplify relevant findings and insights and ensure presented results are accessible and accurate.


  • Support and/or consult with other teams and identify relevant data-driven recommendations.


  • Recommend efficiency improvements for core work and evaluate the viability of automated data collection methods.


  • Understand linkages between analytical models and contribute to the review process-and, if the model is deemed deficient-seek to determine why.


  • Work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities.


  • Stay abreast of privacy requirements and ensure data have undergone appropriate reviews.


  • Embody our culture and values.


Qualifications

Required 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.


Preferred Qualifications

  • Master's Degree in 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 Bachelor's Degree in Statistics, 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 equivalent experience.


  • 4+ years of experience in building PowerBI dashboards and 2+ years of experience in building semantic models on Microsoft Fabric.


  • Experience building extract transform and load (ETL/ELT) solutions in Azure or any other cloud platform.


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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Join Microsoft today and be part of a company that values innovation, leadership, and diversity in its workforce. As a global leader in technology and digital transformation, Microsoft offers unparalleled job opportunities that propel your career to new heights.

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

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