Data Analyst II

5 months ago
Employment Information
Benefits Health benefits include medical, vision and dental coverage Financial benefits include 401(k), stock purchase and company-paid life insurance Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting Other benefits include short-term and long-term disability, education assistance with college degrees, company discounts, military service pay, adoption expense reimbursement, and more You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes The amount you receive depends on your job classification and length of employment It will meet or exceed the requirements of paid sick leave laws, where applicable Tuition, books, and fees are completely paid for by Walmart Benefits are subject to change and may be subject to a specific plan or program terms The annual salary range for this position is $70,000.00-$130,000.00 Additional compensation includes annual or quarterly performance bonuses Qualificatins SQL and Tableau skills to make data-driven decisions and report on key metrics Experience in cross-functional and ambiguous situations 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 Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field 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)
Job location
Data Analyst II
Data Analyst II
16 Vacancy
USA
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