Walmart is looking to improve operational excellence in Transportation Optimization through continuous improvement projects and change management initiatives by leveraging data-driven insights and advanced analytics.
Requirements
- Python, SQL, GCP/BigQuery
- Proven ability to design scalable data pipelines and analytical solutions.
- Expertise in data visualization (Tableau)
- 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)
Responsibilities
- Explore and implement new analytics and automation tools.
- Collaborate on practical AI/ML initiatives and promote best practices and data literacy.
- Identify and deliver data-driven opportunities to improve decision-making and efficiency.
- Translate complex data into actionable recommendations.
- Build dashboards and tools to monitor performance, trends, and KPIs in transportation and supply chain.
- Design and maintain scalable data pipelines and architectures (data lakes, ETL/ELT).
- Ensure data quality, integrity, and governance for analytics and model deployment (GCP BigQuery or similar).
Other
- Stakeholder management
- Strong initiative
- Critical thinking
- Leadership
- Business understanding
- Communicate insights through clear storytelling and visualizations for technical and non-technical audiences.
- Communicate project updates, project results, and risks to keep leadership and business partners engaged.
- Curiosity for AI/ML applications and business understanding; pragmatic approach to innovation.
- Strong business acumen and experience influencing decisions through data.
- Expertise in stakeholder communication
- 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.
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in data analysis, data science, 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)
