Senior, Data Analyst- Transportation Operational Analytics

Walmart Walmart · Retail · Bentonville, AR

This role focuses on data management, quality, advanced analytics, and business partnership within Walmart's Transportation organization. The Senior Data Analyst will build dashboards, perform advanced analysis using SQL and Python, collaborate with cross-functional teams, and lead root cause analysis to drive operational efficiency and cost savings. The role also involves mentoring teams on data-driven decision-making and ensuring data governance.

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

  • Expertise in SQL
  • Expertise in Python
  • Expertise in data visualization tools (e.g., Tableau, PowerBI)
  • Strong knowledge of data quality management
  • Strong knowledge of data governance
  • Strong knowledge of database technologies
  • Ability to translate business requirements into impactful data projects
  • Proven track record of delivering insights in a fast-paced, cross-functional environment
  • 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 OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field OR 4 years' experience in data analysis, data science, statistics, or related field

Nice to have

  • 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)