Senior, Data Analyst - Advanced Analytics, Transportation presso Walmart
Walmart · Bentonville, Stati Uniti d'America · Onsite
- Senior
- Ufficio in Bentonville
Position Summary...
What you'll do...
About the Role: Join our team to drive impactful process improvements across shipment bundling, cost optimization, and service enhancement. You’ll leverage your programming and analytical skills to identify, analyze, and implement solutions that improve business processes, working closely with operational partners and stakeholders. Key Responsibilities:- Identify, extract, and validate data from multiple sources to support business requirements and process optimization.
- Perform initial and ongoing data quality checks, ensuring data is fit for purpose and meets business needs.
- Apply data strategy principles, including data governance, accessibility, and scalability, to routine and complex business problems.
- Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement.
- Collaborate with cross-functional teams to understand business context, develop business cases, and translate requirements into actionable projects.
- Guide and mentor partners on data-driven decision making, process improvements, and feature enhancements.
- Lead root cause analysis and deep research on optimization processes, providing recommendations and supporting implementation.
- Manage data quality, user access, and compliance with company and regulatory policies.
- Demonstrate strong project management skills, stakeholder management, and a continuous improvement mindset.
- Strong programming skills, especially in Python, and proficiency in SQL for data querying and analysis.
- Experience with data quality management, data governance, and business process optimization.
- Critical thinking, curiosity, and a problem-solving mindset.
- Ability to translate business needs into technical solutions and actionable insights.
- Excellent communication skills, with experience presenting to and influencing stakeholders.
- Experience in process improvement, project management, and working with operational partners.
- Experience in supply chain, logistics, or shipment optimization.
- Familiarity with in-house business systems and process analysis.
- Demonstrated ability to drive feature enhancements and process improvements.
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)