(USA) Data Analyst II
About The Position
Walmart is seeking a Data Analyst II to support business decision-making through advanced data analysis and visualization. This role involves identifying relevant data sources, ensuring data quality, and applying statistical techniques to generate actionable insights. The successful candidate will collaborate with cross-functional teams to develop business cases, support project delivery, and communicate findings effectively to stakeholders. Proficiency in analytics tools and programming languages such as Python is essential. This position contributes to continuous improvement efforts by leveraging data to address business challenges and drive informed strategies. The Data Quality team ensures data integrity across Walmart’s ecosystem through rigorous validations and business checks. Leveraging advanced machine learning and anomaly detection, the team identifies irregularities in real-time across data pipelines. Their certification and monitoring framework supports consistent data quality. Collaborating with stakeholders, the team drives process improvements and data governance initiatives to maintain high standards. This enables reliable, accurate data to support informed decision-making and business development, ensuring data is trustworthy and aligned with organizational goals.
Requirements
- Proficiency in data analytics and big data technologies, including Python for data analysis and SQL/NoSQL databases.
- Strong understanding of business contexts across multiple domains such as finance, marketing, and technology.
- Experience in data quality management, including profiling, cleansing, and validation techniques.
- Ability to identify and source relevant data sets to support business cases and analytical models.
- Skilled in data visualization tools and techniques to effectively communicate insights to stakeholders.
- Knowledge of statistical methods and exploratory data analysis to identify trends and correlations.
- Capability to collaborate with cross-functional teams and support process improvements.
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field OR 2 years' experience in data analysis, data science, statistics, or related field.
Nice To Haves
- 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)
Responsibilities
- Identify, collect, and analyze data from multiple sources to support business and operational needs.
- Perform data validation, profiling, and quality assessments to identify anomalies and data issues.
- Develop reports, dashboards, and visualizations that communicate key insights to stakeholders.
- Partner with business, product, and engineering teams to understand requirements and translate them into analytical solutions.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
- Support data quality monitoring efforts by investigating exceptions and assisting with remediation activities.
- Document business logic, data definitions, and analytical processes to improve data transparency and governance.
- Contribute to process improvements and automation initiatives that enhance efficiency and scalability.
Benefits
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
