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 in UK
A remote role based in the United Kingdom (listed on behalf of a partner company).
About the Role
This consultant position focuses on strengthening enterprise data trust and ensuring high-quality, well-governed data assets that drive retail analytics and decision-making.
The Data Governance Consultant will:
- Define and enforce data quality standards across reporting and Business Intelligence (BI) environments.
- Work closely with analytics, engineering, and BI teams to validate data pipelines and ensure consistency across dashboards and curated datasets.
- Support SQL-driven analysis, dbt validation, and Snowflake-based data exploration to improve data reliability.
- Enhance data transparency through metadata, lineage tracking, and governance frameworks.
- Resolve data issues by identifying anomalies, documenting root causes, and driving remediation efforts.
Ideal for those who thrive in a data-driven, collaborative enterprise with a fast-paced retail analytics environment.
Accountabilities & Key Responsibilities
- ✅ Define and maintain data quality by establishing and documenting data quality rules, business definitions, and validation standards for critical reporting and analytics datasets.
- ✅ Perform deep data profiling using SQL, dbt, and Snowflake to validate transformations, investigate anomalies, and ensure data readiness for reporting.
- ✅ Collaborate with BI/analytics teams to ensure dashboards, KPIs, and semantic layers rely on trusted, well-governed datasets aligned with business expectations.
- ✅ Monitor and resolve data quality issues by investigating recurring problems, identifying root causes, and coordinating remediation with engineering and ownership stakeholders.
- ✅ Enhance governance frameworks by maintaining metadata repositories, data lineage documentation, business glossaries, and issue tracking systems.
- ✅ Promote data governance best practices through stakeholder education on data standards, ownership models, certified data 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
- Relevant experience in:
- Data Governance, Stewardship, Data Quality, Analytics, BI, or Data Management within complex enterprise environments.
- Advanced SQL expertise with hands-on experience in:
- Data profiling, validation, reconciliation
- Investigating discrepancies across datasets
- Proven experience with dbt, including:
- Writing tests
- Documentation
- Lineage tracking
- Source freshness checks
- Validation workflows
- Experience with Snowflake (or similar cloud data warehouses), including knowledge of:
- Performance optimisation
- Data structures
- Strong understanding of data governance principles, including:
- Metadata management
- Data lineage
- Data lifecycle
- Data quality dimensions
- Familiarity with BI concepts, such as:
- Dimensional modelling
- KPIs
- Semantic layers
- Analytical mindset with the ability to trace issues across source systems, transformations, and reporting layers.
- Experience using collaboration tools, like:
- Ticketing systems
- Version control platforms
- Documentation repositories
- Added preference:
- Retail analytics experience
- Agile/Scrum delivery model familiarity
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
✔ Competitive remuneration relying on experience and industry standards. ✔ Fully remote work environment with flexible scheduling. ✔ Health, dental, and vision insurance coverage. ✔ Access to modern data stack technologies (Snowflake, dbt). ✔ Collaborative, cross-functional work culture focused on data-driven decisions. ✔ Career growth opportunities in data governance, analytics engineering, and enterprise data strategy.
How Jobgether Works
Applications are reviewed via an AI-powered matching process, ensuring fair, objective, and efficient candidate screening. Successfully shortlisted applicants are forwarded directly to the partner company, which handles interviews, assessments, and further next steps.
We appreciate your interest and invite you to apply! For full transparency on privacy, refer to the Data Privacy Notice.
“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