Principal, Data Analyst Decision Sciences
Bentonville, AR - USA
Job Summary
Position Summary...
Decision Sciences builds a digital understanding of Walmarts operations and turns data into insights that drive action at scale. Within End to End Operations our team supports analytics across Supply Chain and Store Operations partnering closely with data science data enablement and governance teams. Our work ranges from enterprise scorecards to deep analytical initiatives and fast turn executive insightsalways grounded in rigor context and clear storytelling. The demand for our work is strong the problems are complex and the impact is real.Do you thrive on solving complex ambiguous business problems using data
Are you motivated by turning sophisticated analysis into insights that influence strategy and decision-making at scale
As a Principal Data Analyst Decision Sciences End-to-End Operations you will operate as a senior individual contributor and analytical thought leader leading complex analytics initiatives that shape business direction. This role is ideal for a seasoned analytics professional with strong technical depth structured problem-solving skills and the ability to influence through clear compelling data-driven narratives.
You will partner closely with senior business product and technology leaders to translate ambiguous questions into well-defined analytical approachesleveraging advanced analytics and where appropriate AI-enabled techniques to deliver actionable insights and scalable solutions.
The Principal Data Analyst Decision Sciences End-to-End Operations is a high-visibility senior Individual Contributor role responsible for leading complex analytical work end-to-end.
What youll do...
- Own problem formulation and analytical strategy for ambiguous high-impact business challenges
- Apply advanced analytics exploratory analysis and statistical techniques to uncover insights
- Evaluate and apply AI or machine-learning-based approaches when they meaningfully improve analytical outcomes
- Design scalable measurement frameworks and success metrics aligned to business objectives
- Translate complex findings into clear executive-ready stories and visualizations
- Mentor other analysts and raise standards for analytical rigor data quality and storytelling
- Deeply experienced analytics professional with strong business judgment
- Structured problem solver who excels in ambiguity and incomplete information
- Trusted thought partner who influences decisions through insight and credibility
- Pragmatic technologist who values outcomes over complexity
- How to translate complex business problems into structured analytical approaches
- Advanced SQL and Python for data analysis exploration and statistical methods
- Exploratory data analysis hypothesis testing and quantitative reasoning
- How to assess data quality define metrics and quantify business impact
- How to build clear compelling narratives from complex data
- Visualization best practices for executive and senior stakeholder audiences
- Applying machine learning or AI techniques to analytics problems when appropriate
- Working with large-scale complex data ecosystems
- Developing or contributing to interactive analytics experiences or lightweight web-based visualizations to enhance insight delivery
- Modern BI and visualization tools (e.g. Tableau Power BI Python/R visualization libraries)
- Retail eCommerce supply chain merchandising or customer analytics domains
- Leading complex analytical problem solving Defining hypotheses assumptions metrics and analytical approaches for high-stakes business questions
- Driving deep analysis and insight discovery Conducting exploratory and statistical analysis to uncover trends risks and opportunities
- Applying advanced techniques thoughtfully Leveraging AI or machine learning selectively to enhance insight quality or scalability when business value is clear
- Elevating storytelling and visualization Creating intuitive insightful visualizations and when useful interactive or web-based analytical views to drive understanding and action
- Ensuring data quality and trust Partnering with data and technology teams to ensure analytics are built on reliable well-governed data
- Influencing without authority Communicating clearly and credibly with senior leaders and cross-functional partners
- Raising the bar for analytics Mentoring analysts and establishing best practices in analysis visualization and problem formulation
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 .
The annual salary range for this position is $90000.00 - $180000.00 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: Bachelors degree in Business Engineering Statistics Economics Analytics Mathematics Arts Finance or related field and 4 years experience in data analysis data science statistics or related field. Option 2: Masters degree in Business Engineering Statistics Economics Analytics Mathematics Computer Science Information Technology or related field and 2 years experience in data analysis data science statistics or related field. Option 3: 6 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 Masters 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)Primary Location...
802 Respect Dr Bentonville AR 72716 United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Required Experience:
IC
About Company
Walmart started with one man. In 1962, Sam Walton began with just one store and one mission: help people save money so they could live better. As a growing global digital enterprise and with over 11,500 stores, we maintain Mr. Sam’s vision, but now, we are able to help more customers ... View more