Job Description
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.
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.
