Data Analyst II

About the role

The (USA) Data Analyst II supports business decision-making through comprehensive data analysis, quality management, and visualization. This role involves identifying relevant data sources, applying analytical techniques, and delivering actionable insights to drive project success. Collaboration with cross-functional teams is essential to understand business context and communicate findings effectively.

Responsibilities

• Identify, extract, and validate data from multiple sources to support business requirements and process optimization.
• Perform initial and ongoing data quality checks, ensuring data is fit for purpose and meets business needs.
• Apply data strategy principles, including data governance, accessibility, and scalability, to routine and complex business problems.
• Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement.
• Collaborate with cross-functional teams to understand business context, develop business cases, and translate requirements into actionable projects.
• Demonstrate strong project management skills, stakeholder management, and a continuous improvement mindset.

Requirements

• Proficiency in SQL, Python, and data visualization tools such as Tableau to analyze and present complex data effectively.
• Strong understanding of data quality management, including profiling, cleansing, and validation techniques.
• Experience in exploratory data analysis to identify trends, correlations, and outliers.
• Ability to interpret business context across multiple domains and translate data insights into actionable recommendations.
• Skilled in communicating findings clearly to stakeholders and supporting decision-making processes.
• Proficient with relational databases, business intelligence tools (Tableau preferred).
• Demonstrated project management capabilities and experience with ad hoc reporting.
• Critical thinking, curiosity, and a problem-solving mindset.

Qualifications

• 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).

Benefits

At Walmart, you will receive competitive pay as well as performance-based bonus awards and other great 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.