Senior, Data Analyst

WalmartBentonville, AR
Onsite

About The Position

This role is part of the End 2 End Decision Sciences, Supply Chain Data & Analytics team at Walmart. The team supports all supply chain networks with executive reporting and solving complex business problems. The Senior Data Analyst will help business partners from multiple cross-functional teams solve business problems with actionable insights to improve business processes. This role involves working with operations, product, finance, and executive leadership, providing them with insights to drive Walmart forward. The position offers opportunities to learn about the business and upgrade technical skills.

Requirements

  • Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (4-6 years)
  • Creativity with a User Experience foundation to develop impactful visualization (Tableau, Power BI, Custom) (2-3 years)
  • Ability to tell a story clearly and concisely with data
  • Business Operations Fluency. Capability to understand and root cause a business problem.
  • A Supply Chain background, preferably with good understanding of Distribution Centers and Fulfillment Centers operations.
  • Excellent communication skills and ability to work cross-functionally
  • 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.
  • 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.
  • Advanced SQL, Dataiku or Atleryx
  • Proficient skills in at least one of: Tableau, PowerBI, AI Tools, Python, R, etc

Nice To Haves

  • Advanced experience with SQL and Tableau
  • Experience with supply chain operations
  • Experience with Python or other scripting language.
  • Experience with data manipulation tools such as Dataiku, Alteryx, R, Tableau Prep etc.
  • Background in statistics, advanced mathematics, economics, etc
  • 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)

Responsibilities

  • Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions.
  • Create ETLs or processes that pull data from multiple places and centralize it in one table.
  • Develop data visualization to monitor and quantify the impact of changes and unique business challenges.
  • Deliver with speed and Quality.
  • Engage with team members and cross-functional teams on a periodic basis and establish credibility.
  • Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems.
  • Document your processes and share your knowledge with your peers.
  • Mentor your peers as you become a Subject Matter Expert.
  • Independently drive and take ownership of the projects.

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave)
  • Parental leave
  • Family care leave
  • Bereavement leave
  • Jury duty leave
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption expense reimbursement
  • Surrogacy expense reimbursement
  • Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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