Senior, Data Analyst - Transportation Continuous Improvement
IT, Data Science
United States · Bentonville, AR, USA · Abu Dhabi - United Arab Emirates · Remote
USD 80k-155k / year + Equity
Posted on Jun 24, 2026
Position Summary...
What you'll do...
Role summary:As a Senior Data Analyst, you will leverage deep expertise in data sourcing, quality management, and advanced analytics to deliver actionable business insights. This role requires translating complex business challenges into data-driven solutions, applying statistical techniques, and developing compelling visualizations to influence decision-making. You will collaborate across functions to align data strategy with organizational goals, ensuring data integrity and accessibility. Your contributions will support continuous improvement initiatives and drive measurable value, fostering informed strategies that enhance operational efficiency and business performance within a dynamic environment.
About the team:
The Transportation Continuous Improvement team focuses on identifying loss areas through detailed analytics and leading process enhancements using lean methodologies. This team collaborates across functions to develop, implement, and control improvements that drive operational efficiency. Members apply advanced data analysis, visualization, and quality management techniques to support business decisions and optimize transportation processes. The team values clear communication, strategic problem-solving, and continuous improvement to deliver measurable results. It fosters a professional environment where expertise in data-driven insights and process optimization contributes to achieving organizational goals and enhancing overall performance.
What you'll do:
- Identify and assess appropriate data sources aligned with business requirements and quality standards.
- Perform initial data quality checks and manage data cleansing activities to ensure accuracy and reliability.
- Translate complex business problems into data-driven solutions using advanced analytical methods and tools.
- Develop and present clear data visualizations tailored to stakeholder needs, supporting informed decision-making.
- Collaborate with cross-functional teams to align data strategies with organizational goals and business contexts.
- Monitor and maintain data quality metrics, ensuring compliance with governance policies and service level agreements.
- Mentor junior analysts on data analysis techniques, visualization best practices, and quality management processes.
What you'll bring:
- Extensive knowledge of data source identification, including database technologies such as SQL and data quality assessment techniques.
- Strong understanding of business domains, metrics, and processes to translate requirements into actionable data solutions.
- Proficiency in data visualization tools and techniques to effectively communicate insights to stakeholders.
- Experience with data quality management frameworks, data governance, and regulatory compliance related to data privacy and security.
- Ability to apply advanced exploratory data analysis and statistical methods using tools like Python and SQL.
- Proven capability to collaborate cross-functionally and deliver data-driven business recommendations aligned with strategic goals.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: 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. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, 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), 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)