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Data Analytics Governance Analyst - CER Financial

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: PVH (Tommy Hilfiger/Calvin Klein)
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 405 - 690 GBP Daily GBP 405.00 690.00 DAY
Job Description & How to Apply Below
Location: Greater London

Data Analytics Governance Analyst

London

Hybrid (3/2 split)

Contract until end of March 2027

£405 - £690 per day (via Umbrella)

cer Financial are working alongside a great mid tier international bank, who are based in London. They are seeking an Data Analytics Governance Analyst to work with them on a contract.

Responsibilities
  • Champion Data Analytics Governance standards and best practices.
  • Ensure consistent governance across analytics artefacts throughout their lifecycle.
  • Identify and classify Key Data Users and EUCs across EMEA.
  • Conduct gap analyses against policies and procedures.
  • Agree and track remediation actions with KDU/EUC owners.
  • Maintain the KDU and EUC catalogue and required metadata.
  • Ensure compliance with regulatory requirements (including BCBS
    239).
  • Keep governance inventories accurate and up to date.
  • Collaborate with stakeholders across all organisational levels.
  • Support bank-wide data governance initiatives and forums.
  • Produce regular reports, project updates, and respond to ad hoc information requests.
Requirements
  • The candidate will have:
  • Experience establishing Analytics or EUC Governance frameworks.
  • Knowledge of BCBS
    239 and financial services regulatory requirements (ECB experience desirable).
  • Experience with governance and cataloguing tools (e.g. Collibra, Apparity).
  • Strong stakeholder management, communication, and coaching skills.
  • Knowledge of Agile, Waterfall, and the analytics SDLC.
  • Experience with analytics platforms and governance tools.
  • Experience with Power BI and/or Tableau.
  • Understanding of data governance, data management, and data lineage.
  • Experience enabling enterprise self-service analytics.
  • Knowledge of data-related regulatory requirements.
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