Data Governance Analyst - Metadata - SQL - Cataloguing

TN United Kingdom; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a Data Governance Analyst to oversee operational management of assured data. This role focuses on improving data quality, managing the Group Data Catalogue, and collaborating across teams to ensure data-driven insights. You'll leverage advanced SQL skills and data cataloguing tools to enhance data availability and trustworthiness. The company promotes a modern work environment with a strong emphasis on work-life balance and diversity. If you're passionate about data quality and eager to make an impact, this opportunity is perfect for you!

Benefits

Colleague discounts

Pension schemes

Bonuses

Flexible working

Comprehensive wellbeing support

Qualifications

• Strong knowledge of data quality tools and processes.
• Experience with Data Cataloguing tools like Alation.

Responsibilities

• Manage daily operations of the Group Data Catalogue.
• Enhance data quality through profiling and rule implementation.
• Collaborate with data stewardship teams to improve data quality.

Skills

Advanced SQL skills

Data quality tools knowledge

Data Cataloguing tools (Alation, Collibra)

GitHub proficiency

Report creation (Tableau, Power BI)

Data Vault Modelling awareness

Data lifecycle management

Education

Degree in Mathematics

Degree in Science

Tools

Tableau

Power BI

Microstrategy

JIRA

Job description

Data Governance Analyst - Metadata - SQL - Cataloguing, London

Client: Sainsbury's

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 03aeaca819c3

Job Views: 8

Posted: 24.04.2025

Expiry Date: 08.06.2025

Job Description

Role Overview: Drive and deliver operational management of ‘assured data’ across the organisation, focusing on data quality improvements, controls, and managing the Group Data Catalogue content and ownership to ensure analytics, insights, and decisions are based on validated data.

The role involves working across multiple teams, utilizing various systems, tools, and technologies.

Responsibilities

1. Manage daily operations of the Group Data Catalogue, leveraging its features and understanding its technical setup.
2. Enhance data quality through profiling and rule implementation, measuring improvements and value delivered.
3. Develop data quality triage processes, prioritizing issues with impact assessments and KPIs.
4. Create and implement data catalogue processes to facilitate data discovery, prototyping, and data science, supporting transition to production solutions.
5. Identify artefacts for ingestion, ensuring clear communication and usage within the Data Community.
6. Maintain and update the Group Data Catalogue, removing outdated entries and addressing non-compliance issues.
7. Familiarize with and review functionalities of Data Catalogue software, recommending updates and latest features.
8. Coordinate source system data quality remediation with relevant owners and experts.
9. Collaborate with data ownership and stewardship teams to improve data quality via the cataloguing capability.
10. Prioritize work for 3-6 months ahead, manage time effectively, and complete tasks timely.
11. Conduct root cause analysis and address data quality issues with appropriate recommendations.

Requirements

Mandatory Skills:

• Advanced SQL skills
• Strong knowledge of data quality tools, processes, metadata, stewardship, ownership, and cataloguing concepts
• Experience with Data Cataloguing tools such as Alation, Collibra, etc.
• GitHub proficiency
• Experience creating reports and visualizations using Tableau, Power BI, Microstrategy, etc.
• Awareness of Data Vault Modelling
• Understanding of data stores, data warehouses, and related tools
• Knowledge of data quality methodologies and lifecycle management
• Degree in Mathematics or Science

Desirable Skills:

• Root cause analysis and triage skills
• Understanding of JIRA and Agile principles

Skills and Behaviors

• Own it: Take full accountability for data quality issues.
• Make it better: Seek opportunities to improve data availability and trustworthiness.
• Be human: Engage with colleagues respectfully, fostering good relationships and collaboration.

We offer a modern environment with opportunities in AI, reusable tech, and a strong focus on work-life balance. Our benefits include colleague discounts, pension schemes, bonuses, flexible working, and comprehensive wellbeing support. We are committed to diversity and inclusion, welcoming everyone to join our team.