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Senior Data Analyst - Regulatory Insight & Policy (Hybrid)

The Pensions Regulator

Kemp Town Estate

Hybrid

GBP 45,000 - 65,000

Full time

Yesterday
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Job summary

A UK pensions regulatory body is seeking an experienced Senior Data Analyst to lead analytical projects in a hybrid work setting. The ideal candidate will possess strong skills in R or Python, coupled with excellent communication capabilities and familiarity with large datasets. The organization values diversity and inclusion, offering a vibrant workplace culture and competitive benefits. This role plays a critical part in supporting evidence-based policy-making, making it a pivotal position within the organization.

Benefits

Vibrant workplace culture
Competitive benefits
Commitment to diversity and inclusion

Qualifications

  • Proficiency in R or Python is required.
  • Strong communication skills are essential.
  • Experience working with large datasets is necessary.

Responsibilities

  • Deliver analytical projects within a hybrid environment, combining office and remote work.
  • Support the delivery of impactful evidence in policy-making.
  • Contribute to a commitment to diversity and inclusion within the workplace.

Skills

Proficiency in R or Python
Strong communication skills
Experience with large datasets
Job description
Senior Data Analyst - Regulatory Insight & Policy (Hybrid)

The Pensions Regulator

Brighton, England
2025-12-06
FULL_TIME

A UK pensions regulatory body is seeking a Senior Data Analyst to support the delivery of impactful evidence in policy-making. This role involves delivering analytical projects within a hybrid environment, combining office and remote work. Ideal candidates will have proficiency in R or Python, strong communication skills, and experience with large datasets. The organization emphasizes a commitment to diversity and inclusion, offering a vibrant workplace culture and competitive benefits.

  • Deliver analytical projects within a hybrid environment, combining office and remote work.
  • Proficiency in R or Python.
  • Strong communication skills.
  • Experience with large datasets.
  • Commitment to diversity and inclusion, offering a vibrant workplace culture and competitive benefits.
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