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Senior Data Analyst: Critical Third Parties (Hybrid)

Financial Conduct Authority

City of Edinburgh

Hybrid

GBP 52,000 - 72,000

Full time

Today
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Job summary

A financial regulatory body in the UK is seeking a Senior Data Analyst to provide data-driven insights for supervisory oversight. The role involves analyzing data related to Critical Third Parties to support decision-making within the financial sector. Ideal candidates will have strong analytical skills, experience with Tableau or Python, and the ability to communicate complex information effectively. This position offers a hybrid working model and a competitive salary range based on skills and experience.

Benefits

25 days annual leave plus bank holidays
Hybrid model with up to 60% remote work
Non-contributory pension
Private healthcare
35 hours of paid volunteering annually
Flexible benefits scheme

Qualifications

  • Experience of working in financial services or with financial sector firms.
  • Ability to solve business problems using data.
  • Knowledge of Critical Third-Party regime and Operational resilience.

Responsibilities

  • Deliver accurate data and insights for supervisory oversight.
  • Conduct data-driven analysis for market dynamics.
  • Produce Management Information reports for senior stakeholders.
  • Create innovative tools and insights for oversight activities.

Skills

Proven data analysis experience
Experience of using analytical tools (Tableau, R, Python)
Stakeholder management skills
Strong interpersonal skills
Excellent written and oral communication skills
Project management capability
Ability to manage priorities

Tools

Tableau
R
Python
Job description
A financial regulatory body in the UK is seeking a Senior Data Analyst to provide data-driven insights for supervisory oversight. The role involves analyzing data related to Critical Third Parties to support decision-making within the financial sector. Ideal candidates will have strong analytical skills, experience with Tableau or Python, and the ability to communicate complex information effectively. This position offers a hybrid working model and a competitive salary range based on skills and experience.
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