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Data Analyst Iii - Data Ventures
Company | Walmart Luminate |
Address | Bentonville, AR, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting |
Expires | 2023-06-19 |
Posted at | 11 months ago |
Position Summary...
- Advice data modelers on column data types and design to ensure the data architecture is scalable and consistent.
- Helps business leaders understand and interpret company and regulatory policies around data.
- 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.
- Understand product use cases and coordinate across organization to identifying best data source, analyze and profile the data for accuracy, completeness, and consistency.
- Provides guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices.
- Create, validate data mapping (table, column, joins, filters etc.,) and be able to understand and document data lineage.
- Document all data stewardship activities in Data Catalog, lineage, or Metadata management enterprise tools.
- Help business data stewards, data analysts and support teams understand data design, sharing knowledge and identify potential data issues.
- Validate and Sign-off data once the Data Engineers implement data design and create data assets.
- Drives successful adoption of organizational data utilization and educates others on roles and accountability for data management.
- 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.
- Hands-on experience in Python or equivalent object-oriented programming language will be good to have.
- 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 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.,
- Experience working on datasets like consumption data, POS, panel, consumer insights and from syndicated data providers will be good to have.
- Hands-on experience in data visualization tools like Power BI, Tableau etc., 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.
- Hands-on experience in SQL and be an expert at it. Understands concepts of stored procedures, nested queries, advanced sql functions, CTEs etc.,
- 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.
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