(USA) Data Analyst II
About The Position
As a Data Analyst II, you will combine technical expertise and business acumen to support testing, release validation, and cross-product quality assurance. You will identify and analyze data discrepancies before deployment, helping prevent issues that impact Suppliers, Merchants, and other business partners. Working closely with Product, Engineering, and Support teams, you will validate business-critical metrics, translate complex defects into actionable solutions, and drive resolution efforts. Success in this role requires strong analytical skills, attention to detail, adaptability in a fast-paced environment, and a passion for advancing automation through agentic AI and innovative testing practices. The Data Quality and Testing teams at Data Ventures ensure data integrity and system resilience through thorough validations and comprehensive testing frameworks. Leveraging advanced machine learning, anomaly detection, and automation, they proactively identify irregularities and validate global data pipelines. Their certification and monitoring processes support continuous quality assurance and timely issue resolution across Walmart’s ecosystem. Collaborating with global stakeholders, these teams drive process enhancements, strengthen data governance, and accelerate innovation by delivering automated testing and data quality solutions that enable reliable, data-driven decision-making and support business growth.
Requirements
- Experience with software testing, release validation, and test automation using Playwright.
- Strong proficiency in SQL, Python, and cloud-based data platforms such as BigQuery.
- Ability to analyze data, identify defects, and validate business-critical metrics.
- Strong problem-solving and communication skills, with the ability to translate technical issues into actionable solutions.
- Experience working in cross-functional teams and a passion for automation, AI-driven tools, and continuous improvement.
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field; alternatively, 2 years of experience in data analysis, data science, statistics, or a related field.
Nice To Haves
- Experience in data science, data analysis, statistics, or a related field.
- Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field.
- Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
- Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
Responsibilities
- Support release validation, cross-product testing, and data quality assurance activities.
- Identify and analyze data discrepancies before deployment to prevent business-impacting issues.
- Validate business-critical metrics and investigate defects to ensure product quality and reliability.
- Partner with Product, Engineering, and Support teams to translate findings into actionable solutions and drive issue resolution.
- Leverage data analysis, automation, and agentic AI tools to improve testing efficiency and accelerate delivery.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- Live Better U education benefit, including fully paid tuition, books, and fees for eligible programs.
- Performance-based bonus awards.
- Stock may be included as additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
