Data Governance & Analysis - Banking Project - Multiple Positions

JR United Kingdom; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A prominent banking client is seeking multiple interim positions in Data Governance and Analysis. This role involves contributing to a high-impact Data Transformation Programme, leveraging strong data governance principles and analytical skills to shape governance practices effectively. Ideal candidates will have a strong understanding of data quality issues, stakeholder engagement, and technical tools relevant to data management.

Qualifications

• Proven experience in data analysis, governance, and quality within Risk and Finance.
• Expertise in enterprise data management, including data modelling.
• Strong communication and influencing skills.

Responsibilities

• Conduct in-depth data analysis to support governance and quality across data assets.
• Manage data definitions, metadata, and lineage for high-priority data use cases.
• Investigate data quality issues, contributing to root cause analysis.

Skills

Data Analysis

Data Governance principles

Data Quality

Stakeholder Engagement

Reporting

Tools

Collibra

Power BI

Tableau

SQL

Python

Job description

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Data Governance & Analysis - Banking Project - Multiple Positions, london (city of london)

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Client:

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

Multiple Interim Data Governance & Data Analysis Positions – Major Banking Client

We are currently recruiting on behalf of a prominent banking client for several Interim Data Governance & Data Analysis roles at varying corporate levels. These positions are central to a high-impact Data Transformation Programme within the organisation’s Data Office.

This is an exciting opportunity for data professionals to drive change across the EMEA region by contributing to the strategic development and execution of the organisation’s EMEA Data Strategy.

The Ideal Candidate

The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of:

Data Governance principles

Data Migration

Cloud Transformations

This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment.

Key Responsibilities

• Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets.
• Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency.
• Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks.
• Investigate and analyse data quality issues, contributing to root cause analysis and remediation planning.
• Act as a subject matter expert on Risk and Finance data, providing analytical insights that shape governance practices.
• Promote data accountability and stewardship through education, engagement, and strategic influence across the organisation.
• Support ECB onboarding by ensuring data governance and analysis align with supervisory expectations.
• Contribute to broader change initiatives, including process redesign, systems development, and cultural transformation.
• Experience working with and creating Data pipelines to migrate and consolidate data

Key Requirements

• Proven experience in data analysis, data governance, and data quality within Risk and Finance functions.
• Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions.
• Expertise in enterprise data management, including data modelling and metadata management.
• Strong stakeholder engagement and influencing skills, with experience working with senior executives.
• Proficiency in Excel, Visio, and PowerPoint, with experience in business process and data flow modelling.
• Ability to work independently and collaboratively in a fast-paced, evolving environment.
• Professional presence with strong verbal and written communication skills.
• Prior exposure to Collibra or similar data governance tools is highly advantageous.
• Knowledge of data visualisation tools such as Power BI, Tableau, or Qlik.
• Exposure to SQL, Python, R, or other data analysis/engineering tools.
• Awareness of data-related compliance trends and emerging regulatory frameworks.