Microsoft Data Analyst 

United States 

86040595

a Data Analystand data scientistscreate AIon ourvast collection ofPeople data

As a member of our team, you will be joining a dynamic work environment

Required Qualifications

• • Bachelor's Degree in Statistics, 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
    • ORMaster's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field
    • OR equivalent experience.
  • 2+ years experience in ETL (Extract, Transform, Load) related work
  • 2+ years experience using Python language
  • 2+ years experience working with relational databases
  • 1+ year(s) experience building data models (PowerBI, Tableau, etc.)

Additional or Preferred Qualifications

• • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Master'sDegree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 1+ year(s) experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 12, 2024.

in Data

appropriate sources/prototype data models and/or tools for consumption by others and escalates complex issues with those models and/or tools toappropriate Engineering

data requirements, and probes for insight to understand business- or data-related topics beyondconnections and themes across first and/or third-party data sources andopportunities to

Experimentation and Innovation

Partners cross-functionally to advise on experimental design or evaluation frameworks for established data sources, as well as decisions related to data use, personalization, and the interpretation of results.Takes calculated risks and applies learnings, reports results, andrelevant data-driven recommendations and/or connections to results of other work.

Improvement and Efficiency

Recommends efficiency improvements for core work related to analytics and reporting that are reusable,self servicedata and/or insights and evaluate the viability of automated methods for use in data collection, reporting, and/or analysis.

Stays abreast of data privacy requirements, responsible and ethical data handling practices, and models compliance with classification and governance rules and regulations. Ensures data have undergoneappropriate Corporate, Executive, and Legal Affairs (CELA) reviews and ensures work products are in alignment with principles and controls and is aware of where to seek further

and act on opportunities to

Data Analysis

appropriate analyticalappropriate withincontext and provides feedback on features and functions of analytical tools and/or models.

Reporting and Sharing Results

reporting as

• Embody our