About the Team
One word: impact.
Our 2.3 million associates around the world truly make the difference. By improving people decisions through science, insight, and automation, the Walmart Global 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. We are a dynamic team whose scope continues to grow--come build with us!
About the Role
The Senior Data Analyst (People Analytics) is responsible to deliver insightful, actionable, and science-based analyses that improve decision making across people products and leadership. Senior Data Analysts are subject matter experts who partner with customers to deeply understand business problems, identify and structure meaningful measurement strategies, design experiments and interventions, and conduct in-depth statistical analysis. The Senior Data Analyst partners with customers throughout the project lifecycle, including: issue identification and project ideation; hypothesis formation; data wrangling and analysis; and interpretation and recommendations.
The ideal candidate:
Passion:
Statistics and other quantitative skills:
Key Responsibilities:
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.
Benefits & Perks
Equal Opportunity Employer
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)Masters: Computer Engineering, Masters: Computer Science, Masters: Mathematics, Masters: Supply Chain
Subscribe to job alerts and upload your resume!
*By registering with our site, you agree to our
Terms and Privacy Policy.