Senior Data Analyst, Transportation - Inbound Planning and Optimization

Walmart

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Quick summary

Work type: On-site
Location: Bentonville, AR
Employment: Full-time
Posted: 40 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $154k

$99k $209k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $131,692–$175,737.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst, Transportation - Inbound Planning and Optimization

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The (USA) Senior, Data Analyst, Transportation - Inbound Planning and Optimization joins the Transportation - Inbound Planning and Optimization team to enhance inbound transportation efficiency, cost-effectiveness, and service quality. This role involves identifying and validating data sources, ensuring data quality, and applying advanced analytical techniques to uncover actionable insights. You will collaborate with cross-functional teams to translate complex business challenges into data-driven solutions, develop impactful visualizations, and guide data strategy initiatives. You will build dashboards and tools to monitor performance, trends, and KPIs while conducting root cause analysis. The position requires proficiency in SQL, Python, Agentic AI, and GCP BigQuery. You will utilize statistical techniques and exploratory data analysis to optimize shipment planning, routing, and execution within the transportation and supply chain domain.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

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Skills

SQL Python Agentic AI GCP BigQuery Power BI Tableau Spark Scala R Data Visualization Data Quality Management Statistical Techniques Exploratory Data Analysis Business Intelligence

What you'll do

Identify and validate data sources to ensure data quality, integrity, and governance.
Apply advanced analytical techniques using SQL and Python to uncover actionable business insights.
Build dashboards and tools to monitor performance, trends, and KPIs in transportation and supply chain.
Translate complex business challenges into data-driven solutions and actionable recommendations.
Influence stakeholders by communicating project updates, results, and risks through clear storytelling and visualizations.
Explore and implement new analytics, automation tools, and practical AI/ML initiatives.
Analyze shipment patterns and conduct root cause analysis to improve transportation efficiency.

What we're looking for

Must have a Bachelor's degree in a related field and 2 years of experience in data analysis, data science, or statistics.
Must have a Master's degree in a related field.
Must have 4 years of experience in data analysis, data science, statistics, or a related field.
Must have proven expertise in data analysis, statistical techniques, and exploratory data analysis using SQL and Python.
Must have strong knowledge of data quality management, including profiling, cleansing, and monitoring.
Must have proficiency in data visualization tools and best practices to communicate insights to stakeholders.
Must have demonstrated project management skills and the ability to lead initiatives.
Must have experience in translating complex business requirements into actionable data strategies.
Related industry experience in retail, merchandising, healthcare, or eCommerce (preferred).
Successful completion of assessments in data analysis and BI tools like SQL, Python, Spark, Scala, R, Power BI, or Tableau (preferred).

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