Data Analyst II

Walmart Walmart · Retail · Bentonville, AR

The Data Analyst II role at Walmart focuses on maintaining the technical aspects of data within Walmart Data Ventures. This involves ensuring data accuracy, consistency, and accessibility by collaborating with various teams like Data Stewards, Data Engineers, and Data Scientists. Key responsibilities include understanding product use cases, identifying data sources, profiling data, working on data design and mappings, ensuring policy compliance, and documenting data stewardship activities. The role requires hands-on SQL experience and familiarity with data warehousing technologies and data governance tools.

What you'd actually do

  1. Understand product use cases and coordinate across organization to identifying best data source, analyze and profile the data for accuracy, completeness, and consistency.
  2. 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.
  3. Work with fellow Data Stewards and Security team to ensure the policies and standards implemented are consistent across the organization.
  4. Work with data quality team to ensure data is consistent and help create rules.
  5. Advice data modelers on column data types and design to ensure the data architecture is scalable and consistent.

Skills

Required

  • SQL
  • Data management
  • Data Steward
  • Data Engineering
  • Data Analyst
  • Data Science
  • Business Intelligence
  • ETL
  • database
  • data warehouse
  • big data technologies
  • SQL Server
  • Oracle
  • Teradata
  • Hive
  • Presto
  • GCP BigQuery
  • AWS Redshift
  • Azure Synapse Analytics
  • Snowflake
  • Data Governance
  • data catalog
  • lineage
  • metadata management
  • data architecture
  • agile methodology
  • business domains
  • Finance
  • Supply Chain
  • Sales
  • Marketing
  • common KPIs

Nice to have

  • data visualization tools
  • Power BI
  • Tableau
  • Python
  • object-oriented programming
  • consumption data
  • POS
  • panel
  • consumer insights
  • syndicated data providers

What the JD emphasized

  • Hands-on experience in SQL
  • Understanding of Data Governance, best practices in data management and tools (e.g., Collibra) like data catalog, lineage and metadata management is a must.