Data Analyst

Loop Recruitment; Manchester; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Bonus

Pension plan

Job summary

Loop Recruitment is partnering with a global organisation to appoint a Data Governance Analyst in Manchester. This role sits in a growing governance function that aims to mature the enterprise data estate, enabling data-driven decision-making and AI initiatives.

You will help define governance artefacts and ensure consistent data lifecycle management. You’ll work with data owners, stewards and engineering teams to embed governance standards, drive quality initiatives and support governance

Qualifications

• Experience in Data Governance, Data Management or Data Quality.
• Knowledge of metadata management, business glossaries and data dictionaries.
• Strong stakeholder management and communication skills.
• Excel and SQL proficiency.

Responsibilities

• Support the implementation and continual improvement of enterprise data governance frameworks.
• Maintain metadata, business glossaries, data dictionaries and data lineage.
• Collaborate with Data Owners, Data Stewards and Engineering teams to improve governance processes.
• Promote data governance best practices across business and technology teams.

Skills

Data governance

Data management

Data quality

Stakeholder management

Excel

SQL

Tools

Microsoft Purview

Collibra

Alation

Azure DevOps

Job description

Manchester (2 days a week) | £50,000 + 15% Bonus + 10% Pension

We're partnering with a global organisation that's making significant investment in its data capabilities and is looking to appoint a Data Governance Analyst to help shape and mature its enterprise data governance function.

This is an opportunity to join a business that sees data as a strategic asset. You'll play a key role in building a trusted, well-governed data estate that enables better decision-making, supports advanced analytics and AI initiatives, and promotes a strong data-led culture across the organisation.

The Opportunity

Working as part of a growing Data Governance team, you'll help establish and embed data governance practices across multiple business domains. You'll collaborate with stakeholders across business and technology to ensure data is well-defined, trusted, governed and consistently managed throughout its lifecycle.

You'll be responsible for maintaining governance artefacts such as metadata, business glossaries, data dictionaries and lineage, while supporting governance forums, improving data quality processes and helping drive adoption of governance standards across the organisation.

This is an excellent opportunity for someone looking to move beyond traditional data analysis into a role where they can influence how an enterprise manages and governs its data.

What You'll Be Doing

• Supporting the implementation and continual improvement of enterprise data governance frameworks.
• Maintaining metadata, business glossaries, data dictionaries and data lineage.
• Working with Data Owners, Data Stewards and Engineering teams to improve governance processes.
• Defining business terms, critical data elements and ownership across multiple business domains.
• Supporting data quality initiatives, governance reporting and compliance activities.
• Helping manage data issues, risks and governance actions through to resolution.
• Promoting data governance best practices across business and technology teams.
• Supporting governance tooling and helping drive continuous improvements to governance processes.

What We're Looking For

• Experience working within Data Governance, Data Management or Data Quality.
• Knowledge of metadata management, business glossaries and data dictionaries.
• Understanding of data governance principles, policies and controls.
• Strong stakeholder management and communication skills.
• Excellent analytical skills with strong Excel capabilities.
• Experience working with SQL.
• Exposure to governance tooling such as Microsoft Purview, Collibra, Alation or similar would be highly beneficial.
• Knowledge of Azure DevOps would be advantageous.
• Experience within Financial Services, Insurance or other regulated industries would be beneficial but isn't essential.

You'll be joining a business investing heavily in modern data platforms, cloud technologies, AI and enterprise data capabilities. This is a genuine opportunity to help shape a growing governance function, work alongside experienced data professionals and influence how data is managed across a global organisation.