Senior, Data Analyst - Fashion Network
Walmart
IT, Data Science
USD 80k-155k / year + Equity
Posted on Mar 30, 2026
Position Summary...
What you'll do...
About the Role: We are looking for a Senior Data Analyst to join our team. In this role, you will leverage your expertise in data analytics, reporting, and visualization to support business objectives. You will work with various data sources, develop reports, and provide actionable insights to stakeholders across the organization. Key Responsibilities:- Develop, maintain, and optimize Power BI and Tableau reports.
- Write and execute data queries, ensuring data quality and accuracy.
- Navigate and understand existing data sources and architecture to support business needs.
- Perform initial data quality checks and support ongoing data quality management.
- Apply statistical techniques and exploratory data analysis to identify trends, patterns, and insights.
- Collaborate with business stakeholders to translate requirements into actionable data projects.
- Present data findings using advanced visualization techniques and communicate insights to technical and non-technical audiences.
- Mentor junior associates on data visualization and analytics best practices.
- Ensure compliance with company policies, data governance, and regulatory requirements.
- Drive analysis and insights that simplify work in the Fashion Distribution Network and improve throughput, service, and cost.
- Communicate complex findings in clear, decision-ready stories for field leaders, ops partners, and leadership.
- Bring creative thinking to ambiguous problems - generate options, test ideas quickly, and iterate based on results.
- Operate with high ownership and self-direction - prioritize effectively, manage deadlines, and unblock yourself/others.
- Build strong working relationships with site partners; listen, synthesize feedback, and incorporate frontline realities.
- Maintain a high bar for quality: accuracy, clarity, documentation, and a bias toward action over analysis-only deliverables.
- Proven experience in reporting development using Power BI and Tableau.
- Advanced skills in Python and data analytics.
- Strong understanding of database technologies (SQL, NoSQL) and distributed datastores.
- Experience with data quality management, data modeling, and data integration.
- Ability to translate business problems into data-driven solutions.
- Excellent communication and stakeholder management skills.
- Interest or experience in web development is a plus.
- Knowledge of the fashion or distribution center environment is preferred.
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)

















