Data Steward Consultant; Retail Exp

Data Steward Consultant (Retail Exp. Must)

We are a technology services company focused on data, analytics and intelligent robotic processes.

This is a remote position.

• Define, document, and maintain data quality rules, business definitions, and validation standards for key reporting and analytics data assets
• Use SQL, dbt, and Snowflake to profile data, investigate quality issues, validate transformations, and confirm data readiness for business use
• Partner with BI teams to ensure dashboards, reports, metrics, and curated datasets are supported by trusted and well-understood data
• Monitor recurring data quality checks, identify anomalies, document root causes, and coordinate remediation with data owners and technical teams
• Maintain metadata, data lineage, business glossaries, and data issue logs to improve transparency and usability of data assets
• Promote data governance and stewardship best practices by educating stakeholders on data standards, ownership, and proper use of certified data

• Experience in data stewardship, data governance, data quality, business intelligence, analytics, or data management
• Strong SQL skills with experience profiling data, validating business rules, researching discrepancies, and supporting reporting accuracy
• Hands-on experience with dbt, including data tests, documentation, lineage, model review, and transformation validation
• Experience working with Snowflake or similar cloud data warehouse platforms
• Understanding of data governance, metadata management, data lineage, data quality dimensions, and data lifecycle concepts

• Advanced SQL for data analysis, reconciliation, profiling, exception identification, and validation of reporting data
• Working knowledge of Snowflake objects, data structures, query performance considerations, and access patterns
• Experience using dbt tests, source freshness checks, documentation, exposures, and lineage to support trusted data delivery
• Ability to translate business rules into data quality checks, validation queries, and repeatable monitoring processes
• Familiarity with BI reporting datasets, semantic layers, KPIs, dimensional models, and curated analytics tables
• Experience documenting data definitions, transformation logic, ownership, lineage, and known data limitations
• Strong analytical problem-solving skills with the ability to investigate data issues across source, transformation, and reporting layers
• Comfort working with ticketing, issue tracking, version control, and collaborative documentation tools

• Experience supporting data governance programs, data councils, or domain-based data ownership models
• Familiarity with BI tools such as Power BI, Tableau, or Looker
• Experience with data observability, data catalog, data quality, or metadata management tools
• Knowledge of data privacy, security, compliance, and access control concepts
• Exposure to Data Ops practices, version control, release management, and change control for analytics assets
• Experience working in Agile/Scrum environments and partnering with product managers, analysts, engineers, and business stakeholders