Walmart-posted about 1 year ago
$148,699 - $202,000/Yr
Full-time • Mid Level
Sunnyvale, CA
General Merchandise Retailers

The Senior Data Analyst - Inventory and Availability role at Walmart involves developing analytical methodologies to address business challenges, collaborating with various teams to enhance processes, and creating dashboards to track key metrics. The position emphasizes the use of data insights to improve inventory management and customer experience, while also focusing on automation and data management using advanced tools and technologies.

  • Develop clear problem statements and methodologies for analytical requests.
  • Conduct accurate and complete analysis to solve business problems.
  • Collaborate with Product, Engineering, and Operations teams to influence process changes through data insights.
  • Build Tableau dashboards to track customer experience and inventory metrics across U.S. stores.
  • Highlight areas of opportunity to leadership and stakeholders for improving sourcing and replenishment.
  • Develop sustainable automation using Python and SQL for repeatable analytics processes.
  • Utilize Google Cloud Platform (GCP) for data storage, maintenance, and retrieval.
  • Schedule automated SQL workflows for daily analytical jobs.
  • Identify items held up in Wal-Mart FCs due to systemic and eligibility issues.
  • Drive projects independently and communicate insights to senior management.
  • Provide meaningful recommendations to stakeholders for business decision-making.
  • Master's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Finance, Management Information Systems, or related field; OR Bachelor's degree with 2 years of experience in data analysis, data science, statistics, or related field.
  • Experience handling large data sets and writing SQL queries for complex analysis.
  • Experience creating interactive dashboards using Tableau, PowerBI, or Looker.
  • Experience with Cloud Platforms for data access and maintenance.
  • Experience writing Python queries for automating data pipelines.
  • Experience with big data technologies, including Hive, for analyzing complex data sets.
  • Experience developing clear problem statements and methodologies for analytical requests.
  • Competitive pay and performance-based incentive awards.
  • Medical, vision, and dental coverage.
  • 401(k) plan and stock purchase options.
  • Company-paid life insurance.
  • Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
  • Short-term and long-term disability benefits.
  • Education assistance with 100% company-paid college degrees.
  • Company discounts and military service pay.
  • Adoption expense reimbursement.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service