Data Analyst II

Walmart • Bentonville, AR

1d • Onsite

About The Position

As a Data Analyst II, you will be responsible for maintaining the 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.

Requirements

• 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.,
• 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.
• 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.

Nice To Haves

• 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.
• Experience working on datasets like consumption data, POS, panel, consumer insights and from syndicated data providers will be good to have.
• 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)

Responsibilities

• Understand product use cases and coordinate across the organization to identify the 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 reconcile the data with the data source once implemented.
• Work with fellow Data Stewards and the Security team to ensure policies and standards implemented are consistent across the organization.
• Work with the data quality team to ensure data is consistent and help create rules.
• Advise 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 identifying potential data issues.
• Document all data stewardship activities in Data Catalog, lineage, or Metadata management enterprise tools.
• Provide guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices.
• Help business leaders understand and interpret company and regulatory policies around data.
• Drive successful adoption of organizational data utilization and educate others on roles and accountability for data management.

Benefits

• Competitive pay
• Performance-based bonus awards
• 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
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Live Better U (Walmart-paid education benefit program for full-time and part-time associates)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level