Senior Data Analyst Opportunity in Bentonville, AR

We are seeking a talented Sr. Data Analyst to join our dynamic team at Walmart, based in Bentonville, Arkansas. This role will report to the Senior Manager of Data Analytics – Outbound Transportation.

Position Summary

The Sr. Data Analyst will support the implementation of business solutions through building relationships, identifying business needs, and performing data analysis. This involves data collection, analysis, and visualizing findings using tools like SQL, Python, and Tableau.

What You'll Do

Data Collection and Analysis

Understand data sources, integrate data, and perform analysis using SQL and Python. Visualize findings on a Tableau dashboard, monitor daily, and flag any outliers. Conduct exploratory analysis to inform the team of significant findings.

Business Partnerships

Prepare executive presentations to communicate strategic recommendations based on your research and data analysis. Review and refine findings based on partner feedback to provide actionable insights.

Model Development

Build and manage parts of algorithmic products/models and ensure consistency with overall product goals. Use existing Walmart tools to verify findings and run simulations to test theories.

Proof of Concept and Prototype

Generate new ideas and contribute to proof-of-concepts for projects. Apply research knowledge to innovate and develop new information.

Collaboration

Collaborate cross-functionally with team members, managers, and specialists to ensure project success.

Project Scope

Own small projects end-to-end, ensuring product functionality and identifying new information to support the product owner.

Technical Skillsets

Python, SQL, GCP, Tableau, and Excel expertise.

You’ll Sweep Us Off Our Feet If You...

• Have expertise in Python, SQL, GCP, and Tableau.
• Are eager to learn about Walmart’s transportation business.
• Possess strong presentation and verbal communication skills.
• Have previous experience in Supply Chain and Transportation.

Perks and Benefits

At Walmart, we offer competitive pay, performance-based bonuses, 401(k) match, stock purchase plans, and paid maternity and parental leave. Enjoy multiple health plans, PTO, and more. Join us and help over 275 million global customers live better every week.

Who We Are

Join Walmart, the Fortune #1 company, where you can bring your whole self to work. We are committed to diversity, inclusion, sustainability, and community involvement. Become part of a company where your best work is supported and recognized.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We value diversity and are inclusive of all people, understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions.

Competitive Pay and Benefits

In addition to competitive pay, you will receive performance-based bonus awards, health benefits (medical, vision, dental), financial benefits (401(k), stock purchase, company-paid life insurance), and PTO (sick leave, holidays, parental leave, bereavement, jury duty, voting).

Additional Compensation

The annual salary range for this position is $80,000.00-$155,000.00, with additional annual or quarterly performance bonuses. Some positions may also include stock options.

Minimum Qualifications

• Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Finance, or related field plus 2 years' experience in data analysis, data science, or statistics; 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.

Preferred Qualifications

• Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology.
• Related industry experience (retail, merchandising, healthcare, eCommerce).
• Experience with data analysis and Business Intelligence tools and scripting languages (SQL, Python, Spark, Scala, R, Power BI,