Position Summary...

What you'll do...
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. We are a newly formed team that is growing quickly--come build with us!

About the Role

The Senior Data Analyst (Econometrics) 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 (Econometrics) has demonstrated experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design and, optimization. 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.

Key Responsibilities:

• Consult with customers to ensure we answer the right questions; participate in scoping, planning, and design of research projects

• Develop analysis plans and create appropriate statistical models to answer complex business questions

• Interpret data and communicate complex findings to customers (leaders in HR and across the business)

• Deliver insightful and actionable recommendations; build effective relationships to influence leaders to act on the results.

• Design and execute experiments to identify causal factors; develop framework and metrics to facilitate rigorous evaluation of initiatives

• Create and contribute to the Research & Analysis community to share and leverage best practices and create standards

Minimum Qualifications...
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.

Preferred Qualifications...
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 Science, Masters: Engineering General, Masters: Mathematics, Masters: Supply Chain