About the Team
One word: impact.
Our 2.2 million associates truly make the difference. By improving people decisions through science, insight, and automation, the Walmart Associate Analytics team empowers our associates to do more for our customers. We influence Walmart's people policies; test & evaluate program and intervention effectiveness; create scaled AI/ML people solutions; and deliver insights that improve our associates' experience. Come build with us!
About the Role
The Data Modeler will be responsible for the design, build, and deployment of tabular data models on a semantic data layer. This individual will leverage modern performance tuning techniques, conceptual schemas, and modern technology to transform 10's of millions of rows of raw data to high-performing structured models that empower our internal customers to be data-driven. This individual will be accountable to identify, define, protect, and manage data from its raw form to its consumption and work with product teams, data analysts, data scientists, and technology teams in driving data-related strategic initiatives.
Key Responsibilities:
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
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