DATA GOVERNANCE CONSULTANT(RETAIL EXP. MUST)

Accountabilities: • Define, document, and maintain data quality rules, business definitions, and validation standards across key reporting and analytics datasets, ensuring consistency and reliability of business-critical information. • Perform deep data profiling and validation using SQL, dbt, and Snowflake to investigate anomalies, confirm transformation accuracy, and support data readiness for reporting use cases. • Partner with BI and analytics teams to ensure dashboards, KPIs, and semantic layers are built on trusted, well-governed datasets aligned with business expectations. • Monitor ongoing data quality checks, investigate recurring issues, identify root causes, and coordinate remediation with engineering and data ownership stakeholders. • Maintain and enhance metadata repositories, data lineage documentation, business glossaries, and data issue tracking systems to improve transparency and usability. • Promote data governance best practices by educating stakeholders on data standards, ownership models, certified data usage, and stewardship principles. Requirements: • Strong background in data governance, data stewardship, data quality, analytics, BI, or data management within complex data environments. • Advanced SQL skills with hands-on experience in data profiling, validation, reconciliation, and investigating discrepancies across datasets. • Practical experience with dbt including tests, documentation, lineage tracking, source freshness checks, and transformation validation workflows. • Experience working with Snowflake or comparable cloud data warehouse platforms, including knowledge of performance considerations and data structures. • Solid understanding of data governance principles including metadata management, data lineage, data lifecycle, and data quality dimensions. • Familiarity with BI concepts such as dimensional modeling, KPIs, semantic layers, and curated reporting datasets. • Strong analytical mindset with the ability to trace issues across source systems, transformations, and reporting layers. • Experience using collaboration tools such as ticketing systems, version control platforms, and documentation repositories. • Exposure to retail analytics environments and Agile/Scrum delivery models is highly preferred. Benefits: • Competitive compensation aligned with experience and industry benchmarks. • Fully remote work environment with flexible working arrangements. • Health, dental, and vision insurance coverage options. • Opportunities to work with modern data stack technologies including Snowflake and dbt. • Collaborative and cross-functional environment with strong focus on data-driven decision making. • Professional growth opportunities in data governance, analytics engineering, and enterprise data strategy. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1