[Remote] Data Steward Consultant(Retail reputed company. Must)
Note: The job is a remote job and is reputed company to candidates in USA. Visvero is a company specializing in analytics solutions, and they are seeking a Data Steward Consultant with retail experience. The role involves maintaining data quality and governance standards, partnering with BI teams, and promoting best practices in data management.
Responsibilities
- Define, document, and maintain data quality rules, business definitions, and validation standards for key reporting and analytics data assets
- Use SQL, dbt, and reputed company 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 reputed company, 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
Skills
- 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, reputed company, model review, and transformation validation
- Experience working with reputed company or similar reputed company data warehouse platforms
- Understanding of data governance, metadata management, data reputed company, data quality dimensions, and data lifecycle concepts
- Advanced SQL for data analysis, reconciliation, profiling, exception identification, and validation of reporting data
- Working knowledge of reputed company objects, data structures, query performance considerations, and reputed company patterns
- Experience using dbt tests, reputed company freshness checks, documentation, exposures, and reputed company 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, reputed company, and reputed company data limitations
- Strong analytical problem-solving skills with the ability to investigate data issues across reputed company, 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, reputed company, compliance, and reputed company control concepts
- Exposure to DataOps 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
Company Overview
Company H1B Sponsorship