Senior Data Analyst - Last Mile Delivery

Position Summary...

What you'll do...

Want to be part of Walmart’s Last Mile growth story?

The Last Mile team works on fulfilling customer demand for everything in the store and making it available at the comfort of their home. We want our customers to have every option available to shop for their needs: wherever, whenever, and however they want it. As the biggest player in the game, Walmart trusts our associates to innovate the future of shopping.

As a Senior Data Analyst, you will act as a Last Mile Business Analytics expert inspiring teams and leaders to make data-driven decisions. You will apply your data analysis skills to support the execution and evolution of our on-going initiatives and provide actionable insights to achieve results in Walmart’s Last Mile Delivery space. You will serve as a trusted partner/advisor and collaborate with a wide variety of teams, spanning across Customers, Product, Operations and Supply Chain, while influencing decisions at the highest levels of the organization.

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. 

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

• Partnering with business and product stake holders to solve challenging business problems and identify trends and opportunities
• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and provide actionable insights
• Defining and evaluating key performance metrics for new product launches
• Developing data visualizations to monitor and quantify the impact of the product initiatives and unique business challenges
• Identifying new levers to help improve key product metrics, understanding root causes for change in metrics
• Conducting exploratory data analysis including hypothesis testing, statistical inference and statistical analysis
• Collaborating with data stewards and data engineering team to gather and process right information from various sources
• Working effectively cross-functionally and communicate data and insights to non-tech leadership team

You’ll Sweep us off our feet if

• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions
• You are experienced with languages used to manipulate data and draw insights from large data sets (SQL, Python etc.,)
• You have strong story telling experience with data visualizations in Tableau, Looker, etc.
• You can process multi-dimensional data on cloud platforms (Preferably Google Cloud)
• You have experience executing statistical analysis with A/B testing
• You have Compelling, persuasive oral and written communication skills and can build strong cross-functional relationships
• You are comfortable with shifting priorities in fast moving environment

Minimum Qualifications

• Master’s degree in Data Science, Computer Science, Analytics, Statistics or relevant field with 2 years of experience in analytics related field or Bachelor’s degree in Data Science, Computer Science, Analytics, Statistics or relevant field with 4 years of experience in analytics related field

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 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.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America