Data Analytics

Microsoft Legal Departmentover 1 year ago
Redmond, Washington, United States
Remote
Full-time
Junior Level (1-3 years)
$170,470-$200,470 Annually

Job Description

Position Overview

Microsoft Corporation is seeking a dynamic professional to manipulate large volumes of data and develop innovative techniques for data collection, management, and usage. The role involves researching cutting‐edge tools and methods – potentially leveraging Machine Learning or statistical modeling – to improve state-of-the-art computer hardware and software solutions. You will collaborate with cross-functional teams to drive digital transformation, including Artificial Intelligence and Automation initiatives, while ensuring data accuracy and performance enhancements. Telecommuting permitted 100% from any location in the U.S.

Key Responsibilities

  • Manipulate large volumes of data and develop new, improved solutions for data collection and management.
  • Research and implement innovative tools and techniques, including Machine Learning and statistical modeling.
  • Develop, evaluate, and deploy software, algorithms, systems, or data solutions to improve products and performance.
  • Collaborate with cross-functional teams to promote digital transformation and streamline business requirements.
  • Analyze designs and review business requirements to enhance data accuracy and quality.

Required Qualifications

  • Education: Master’s or equivalent in Computer Science, Information Technology, Software Engineering, Computer Systems, Information Systems, Data Science, Mathematics, Statistics, Business Analytics or a related field.
  • Experience: Minimum 24 months of data analysis and/or data management experience.
  • Proficiency in Data Structures, Data Warehousing, Reporting, SQL and/or T-SQL, SQL Server, Power BI Desktop, and DAX.

Benefits & Perks

  • Compensation: Offered base pay range of $170,470 to $200,470 per year.
  • Additional Rewards: Eligibility for merit increases, annual bonus, stock awards, and sales incentives based on performance.
  • Employee Benefits: Access to medical, dental, and vision insurance, a 401(k) plan with company match, disability coverage, life insurance, wellbeing benefits, scheduled paid holidays, Holistic Health Time Off, and vacation accrual (varying by role and employment type).
  • Work Arrangement: Full time employment with options for remote work.

Required Skills

T-SQL
DAX
Statistical Modeling
Machine Learning
Data Structures
Data Analysis
Data Management
SQL
Algorithm Development
Data Warehousing
SQL Server
Power BI Desktop