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Senior Data Analyst

2 months ago

Rogers, Arkansas, United States Walmart Full time
Job Summary

We are seeking a highly skilled Data Analyst to join our team at Walmart. As a key member of our data analytics team, you will be responsible for analyzing complex data sets, identifying trends, and providing insights to inform business decisions.

Key Responsibilities
  • Analyze large data sets to identify trends, patterns, and correlations
  • Develop and maintain data visualizations to communicate insights to stakeholders
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Design and implement data quality management processes to ensure data accuracy and integrity
  • Stay up-to-date with industry trends and emerging technologies in data analytics
Requirements
  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, or related field
  • 2+ years of experience in data analysis, data science, statistics, or related field
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills
  • Ability to work in a fast-paced environment and prioritize multiple projects
Preferred Qualifications
  • Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or related field
  • Experience with data science, data analysis, statistics, or related field
  • Knowledge of data visualization tools and scripting languages (e.g. SQL, Python, Spark, Scala, R, Power BI, or Tableau)
What We Offer

At Walmart, we offer a competitive salary, performance-based bonus awards, and a range of benefits, including medical, vision, and dental coverage, 401(k), stock purchase, and company-paid life insurance. We also offer paid time off, parental leave, family care leave, bereavement, jury duty, and voting leave.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity.