Data Analyst III

Data Analyst III

What you'll do at

Position Summary...

What you'll do...

About the Team 

As a part of the Walmart Last Mile Delivery organization, you will contribute to the success of our Transportation Network! Why? Because Sam Walton founded our company with the belief that the customer is #1. It is not just a belief, but our way of doing business. With our Last Mile Delivery Team at the forefront of retail transformation you can work on a team that is ultimately focused on delighting our customers, saving them both time and money in unexpected ways. As the biggest player in the game, we trust our associates to innovate the future of Last Mile Delivery! 

The Forecasting and Analytics team within the Last Mile Delivery organization mainly focuses on collaborating with various teams and analyzing data from various disparate sources to provide guidance on the future state and for solving complex business problems.  You will manage complex data, collaborate with various teams, and work with operational and cross-functional partners to translate high level business strategy into estimates which will guide both strategic/tactical planning and daily operations.

If you are motivated by complex, purposeful challenges, this role, with the world’s largest retailer, could be the fit you have been looking for.  Do you possess any of the following skills and experience? 

  • Supply Chain or eCommerce domain knowledge 
  • Collaborative analytics and project management to improve business operations
  • Data processing and data quality validation to ensure the best possible data inputs are driving systemic solutions, experience in SQL, advanced Excel and Tableau
  • Experience in cross-functional and ambiguous situations

You’ll make an impact through the following job functions:

  • Forecasting – Develop and improve detailed forecasting frameworks to guide decision making and daily operations. Communicate, collaborate and align with various internal and external teams to improve the frameworks
  • Prescriptive Data Analytics: Perform in-depth and detailed data analytics on large, complex, disparate datasets to investigate business problems, distill the complex analytics into easily understandable data visualizations to facilitate critical decision making and prescribe/recommend optimal actions
  • Continuous Improvement: Continuously improve processes by utilizing the best practices in data analytics and standardizing the data inputs, processing, validation and visualization
  • Cross Functional Collaboration: Build strong relationship with various teams and cross functional partners by constant-effective communication, understanding their business problems and requirements in detail and recommending/implementing optimal solutions
  • Modeling: Develop and improve existing models. Continuously improve the modeling frameworks by mirroring the real world through assumptions and approximations but balance the speed to solution as well

About You

  • You understand transportation or supply chain, whether in Retail ecommerce environment or similar industries
  • You are a problem solver and creative thinker: you think about finding the best solution that will work in days, instead of the perfect one that requires weeks.
  • You learn and adapt quickly, and are excellent at working on multiple cross-functional projects concurrently
  • You have excellent general modeling and data processing skills.
  • You are customer-centric in spirit and in execution.
  • You work well with ambiguity
  • You have strong technical skills in data analytics and visualization- SQL, advanced Excel, Tableau, Power BI etc.; Preferred- Knowledge and skills in any programming languages to automate data analysis

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 

Perks and Benefits 

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.  

Who We Are 

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. 

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

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 1 year's
experience in data analysis, data science, statistics, or related field. Option 2: 3 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)

Primary Location...

950 ELM AVE, SAN BRUNO, CA 94066-3047, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
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All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

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 specific plan or program terms. For information about benefits and eligibility, see

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