Responsibilities

• Develop and maintain scalable reporting solutions and dashboards for Sales and business stakeholders
• Partner cross-functionally to identify automation opportunities and improve reporting efficiency
• Analyze performance trends and translate findings into actionable insights
• Support business case development and evaluate new initiatives through data-driven analysis
• Conduct ad hoc analyses to explain revenue trends and campaign performance and measurement
• Contribute to experimentation design (A/B testing) and measurement frameworks
• Build quick automation tools to drive quick data synthesis
• Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights
• Lead and conduct ad hoc analyses to identify root causes of revenue fluctuations
• Operate independently as the go-to analytics expert for day-to-day business needs

Requirements

• Minimum 2+ years of experience in data science
• Strong SQL skills and proficiency in Python (PySpark preferred)
• Experience with large data sets and cloud-based data platforms
• Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models
• Exposure to experimentation, A/B testing, or performance measurement frameworks
• Ability to translate business problems into analytical approaches
• Strong communication skills and ability to work with cross-functional teams
• Proven ability to manage multiple priorities independently in a cross-functional environment
• Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics)
• Experience in retail media, advertising, or ad tech is a plus

Preferred

• Data science, machine learning, optimization models; Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Successful completion of assessments in Python, Spark, Scala, or R
• Using open source frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Background in creating inclusive digital experiences and WCAG 2.2 AA accessibility standards
• Knowledge of accessibility best practices and Walmart accessibility standards

Benefits

• Health benefits include medical, vision and dental coverage
• Financial benefits include 401(k), stock purchase and company-paid life insurance
• PTO and family leave options with eligibility-based accrual
• Disability coverage, company discounts, and other allowances
• Live Better U education benefit program for associates