Senior, Data Analyst- Transportation Operational Analytics

Walmart Walmart · Retail · Bentonville, AR

This role focuses on data management, quality, and advanced analytics within Walmart's Transportation organization. Responsibilities include extracting and validating data, building dashboards, performing advanced analysis using SQL and Python, collaborating with cross-functional teams, and leading root cause analysis for process enhancements. The goal is to drive data-informed decisions, improve efficiency, and reduce costs.

What you'd actually do

  1. Extract and validate data from multiple sources; maintain scalable pipelines and architectures. Ensure data accuracy, integrity, and compliance with governance standards.
  2. Perform advanced analysis using SQL, Python, and statistical methods to uncover trends and opportunities. Build dashboards and translate complex data into actionable insights for efficiency and cost savings.
  3. Collaborate with cross-functional teams to define problems and align metrics. Communicate insights through clear storytelling and visualizations for diverse audiences.
  4. Lead root cause analysis and recommend process enhancements. Identify and implement data-driven opportunities for operational efficiency.
  5. Mentor teams on data-driven decision-making and process improvements. Ensure data quality and governance for analytics and model deployment (e.g., GCP BigQuery).

Skills

Required

  • SQL
  • Python
  • data visualization tools (e.g., Tableau, PowerBI)
  • data quality management
  • data governance
  • database technologies
  • statistical techniques
  • exploratory data analysis
  • translate business requirements into impactful data projects
  • delivering insights in a fast-paced, cross-functional environment

Nice to have

  • Data science
  • 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)