Jobgether
Data Governance Consultant(Retail Exp. Must)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Governance Consultant(Retail Exp. Must)
Data Governance Consultant (Retail Experience Required) – Remote, UK
Our partner company, specialising in data governance and enterprise data standards, is currently seeking a Data Governance Consultant with a strong background in retail analytics to work remotely from the UK.
About the Role
This remote role focuses on enhancing enterprise data trust while ensuring high-quality, well-governed data assets drive retail analytics and decision-making.
The consultant will:
- Define and enforce data quality standards across reporting and BI environments.
- Collaborate with analytics, engineering, and BI teams to validate data pipelines and ensure consistency in dashboards.
- Emphasise SQL-driven analysis, dbt validation, and Snowflake-based data exploration as core practices.
- Strengthen data transparency through metadata, lineage tracking, and governance frameworks.
- Support data issue resolution by identifying anomalies, documenting root causes, and driving remediation efforts.
This position is ideal for someone thriving in a data-driven, collaborative, and fast-paced retail analytics environment.
Accountabilities
- Define, document, and maintain data quality rules, business definitions, and validation standards to ensure consistent, reliable business-critical data.
- Conduct deep data profiling and validation using SQL, dbt, and Snowflake to investigate anomalies, confirm transformation accuracy, and support data readiness for reporting.
- Partner with BI and analytics teams to ensure dashboards, KPIs, and semantic layers are built on trusted, governed datasets aligned with business needs.
- Monitor ongoing data quality checks, investigate recurring issues, identify root causes, and coordinate remediation with engineering and data ownership teams.
- Maintain and enhance metadata repositories, data lineage documentation, business glossaries, and data issue tracking systems to improve transparency.
- Promote data governance best practices, educating stakeholders on data standards, ownership models, certified usage, and stewardship principles.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Strong background in data governance, stewardship, analytics, BI, or data management within complex environments.
- Advanced SQL skills, with hands-on experience in data profiling, validation, reconciliation, and resolving discrepancies.
- Practical experience with dbt (tests, documentation, lineage tracking, source freshness checks, and transformation workflows).
- Proven experience with Snowflake (or comparable cloud data warehouses), including optimisation and architecture knowledge.
- Solid understanding of data governance principles (metadata management, lineage, lifecycle, and quality dimensions).
- Familiarity with BI concepts (dimensional modeling, KPIs, semantic layers, and curated reporting datasets).
- Strong analytical mindset and ability to trace issues across source systems, transformations, and reporting layers.
- Experience with ticketing systems, version control, and documentation tools.
- Retail analytics background highly preferred, along with experience in Agile/Scrum delivery.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Competitive compensation tailored to experience and industry standards.
- Fully remote work with flexible arrangements.
- Comprehensive benefits including health, dental, and vision insurance.
- Exposure to modern data stack technologies (Snowflake, dbt).
- Collaborative, cross-functional environment focused on data-driven decision-making.
- Professional growth opportunities in data governance, analytics engineering, and enterprise data strategy.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location