This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Consultant (Retail Exp. Must) based in Switzerland.
This remote role focuses on strengthening enterprise data trust and ensuring high-quality, well-governed data assets that support retail analytics and decision-making.
The consultant will play a key role in defining and enforcing data quality standards across reporting and BI environments.
You will work closely with analytics, engineering, and BI teams to validate data pipelines and ensure consistency across dashboards and curated datasets.
A strong emphasis is placed on SQL-driven analysis, dbt validation, and Snowflake-based data exploration.
The role contributes directly to improving data transparency through metadata, lineage tracking, and governance frameworks.
You will also support issue resolution by identifying anomalies, documenting root causes, and driving remediation efforts.
This position is ideal for someone who thrives in a data-driven, collaborative, and fast-paced retail analytics environment.
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.