Data Analyst II
Walmart
IT, Data Science
USD 70k-130k / year + Equity
Posted on Feb 24, 2026
Position Summary...
What you'll do...
As a Data Analyst II, you will be responsible for maintaining technical aspects of Walmart Data Ventures data. You will ensure that data is accurate, consistent, and accessible to users throughout the organization. You will work with Data Stewards, Data Analysts, Product Managers, Data Engineers, and Data Scientists to ensure that data is stored and managed in a way that meets the needs of the organization. Responsibilities:- Understand product use cases and coordinate across organization to identifying best data source, analyze and profile the data for accuracy, completeness, and consistency.
- Work with data modelers to create data design, column mappings, joins, filters etc., ensuring the data meets requirements and reconciliate the data with data source once implemented.
- Work with fellow Data Stewards and Security team to ensure the policies and standards implemented are consistent across the organization.
- Work with data quality team to ensure data is consistent and help create rules.
- Advice data modelers on column data types and design to ensure the data architecture is scalable and consistent.
- Validate and Sign-off data once the Data Engineers implement data design and create data assets.
- Create, validate data mapping (table, column, joins, filters etc.,) and be able to understand and document data lineage.
- Help business data stewards, data analysts and support teams understand data design, sharing knowledge and identify potential data issues.
- Document all data stewardship activities in Data Catalog, lineage, or Metadata management enterprise tools.
- Provides guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices.
- Helps business leaders understand and interpret company and regulatory policies around data.
- Drives successful adoption of organizational data utilization and educates others on roles and accountability for data management.
- Bachelor's degree (Business Administration, Computer Science, Information Systems, Data Science) with a minimum of 1+ years of experience in Data management (Data Steward, Data Engineering, Data Analyst, Data Science, Business Intelligence, ETL etc.,)
- Hands-on experience in SQL and be an expert at it. Understands concepts of stored procedures, nested queries, advanced sql functions, CTEs etc.,
- Hands-on experience working with data in database, data warehouse or big data technologies like SQL Server, Oracle, Teradata, Hive, Presto, GCP BigQuery, AWS Redshift, Azure Synapse Analytics, Snowflake etc.,
- Hands-on experience in data visualization tools like Power BI, Tableau etc., will be good to have
- Hands-on experience in Python or equivalent object-oriented programming language will be good to have.
- Understanding of Data Governance, best practices in data management and tools (e.g., Collibra) like data catalog, lineage and metadata management is a must.
- Understands lifecycle of software products and concepts of data architecture and agile methodology.
- Understanding of different business domains, Finance, Supply Chain, Sales, Marketing etc., and their common KPIs.
- Experience working on datasets like consumption data, POS, panel, consumer insights and from syndicated data providers will be good to have.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $70,000.00 - $130,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum 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.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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)

















