Principal Data Analyst, Data Ventures

Role Overview

• Manage and optimize Walmart Data Ventures' technical and business data assets.
• Ensure data accuracy, consistency, and accessibility across the organization.
• Analyze product use cases, identify the right data sources, and assess data for accuracy, completeness, and consistency.
• Partner with data modelers to design data structures, mappings, and transformations that align with business requirements, and reconcile data after implementation.
• Collaborate with Data Stewards and Security teams to uphold consistent data policies and standards across the organization.
• Work with the data quality team to define and implement data quality rules.
• Build automated, reusable frameworks and reports or dashboards using Python, SQL, and related tools to support analysis and reconciliation.
• Provide guidance on data architecture, including column data types and scalable design decisions.
• Validate and sign off on data assets post-implementation by Data Engineers.
• Interpret and document code (SQL, Scala, PySpark, Python, ETL) and data lineage at a high level.
• Create and validate data mappings, document data lineage, and maintain comprehensive metadata.
• Support business data stewards, analysts, and support teams in understanding data design and resolving data issues.
• Document all stewardship activities in enterprise data catalog and metadata management tools.
• Guide stakeholders and junior associates on data governance best practices and regulatory compliance.
• Promote organizational adoption of data management practices and educate teams on data accountability.

Requirements

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
• Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• 6 years' experience in data analysis, data science, statistics, or related field.
• Strong SQL skills, including experience with stored procedures, nested queries, and advanced functions.
• Experience working with databases, data warehouses, or big data platforms such as SQL Server, Oracle, Teradata, Hive, Presto, BigQuery, Redshift, Synapse, or Snowflake.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Familiarity with ETL, cloud, and big data tools such as Informatica, SSIS, Spark, Hive, or Airflow.
• Proficiency in Python or a similar object-oriented programming language.
• Strong understanding of data governance, data management best practices, and tools such as Collibra, data catalogs, lineage, and metadata management.
• Familiarity with software product lifecycles, data architecture, and agile ways of working.
• Knowledge of business domains such as Finance, Supply Chain, Sales, or Marketing, including relevant metrics and performance indicators.
• Experience working with retail, point-of-sale, basket, consumer insights, or syndicated data is a plus.

Tech Stack

• Airflow
• Amazon Redshift
• BigQuery
• Cloud
• ETL
• Informatica
• Oracle
• PySpark
• Python
• Scala
• Spark
• SQL
• SSIS
• Tableau

Benefits

• Health benefits include medical, vision and dental coverage.
• 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.
• Short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• Tuition, books, and fees are completely paid for by Walmart through the Live Better U program.