About the Team
One word: impact.
Our 1.4 million Walmart US associates truly make the difference. By improving people decisions through science, insight, and automation, the Walmart US People 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 Steward will be responsible for the management of data assets, architecture, and infrastructure for the people domain, as well as the backlog prioritization of data transformation efforts across data sources. This individual will be accountable to identify, define, protect, and manage data from its raw form to its consumption by data stakeholders. This individual will also be able to skillfully develop, deploy, and manage production scaled Tabular data models using cloud infrastructure - Azure Analysis Service or on-premise technology - SQL Server Analysis Service. Lastly, this individual will work with business leaders, product teams, data analysts, data scientists, and technology teams in driving forward data-related strategic initiatives.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.
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, 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)
508 SW 8TH ST, BENTONVILLE, AR 72712, United States of America