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Data ScienceRemote

Insights & Analytics Analyst at Sermo

Sermo - Company

London, UK, ๐Ÿ‡ฌ๐Ÿ‡ง United KingdomFull-time - Mid level (2-4 years)0 applicantsCloses Jul 24, 2026

Salary

GBP 45 - 50 / year

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Job description

Job details

  • Location: London, UK
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: GBP 45 - 50 per year

Role overview

Sermo is seeking a detail-oriented Insights & Analytics Analyst to join their Client Analytics team. In this role, you will leverage data to revolutionize real-world medicine by providing actionable insights derived from a global network of physicians. You will work closely with cross-functional teams to improve global healthcare outcomes through quantitative analysis.

Job details

This is a full-time position based in London, UK, offering a remote work mode. This role is not an internship. The salary range for this position is 45,000 to 50,000 GBP per year.

Responsibilities

  • Analyze complex healthcare datasets to extract meaningful insights for clients.
  • Develop and maintain analytics reports to track key performance indicators.
  • Collaborate with the product and business development teams to refine data strategies.
  • Communicate quantitative findings to non-technical stakeholders clearly.
  • Ensure data accuracy and integrity across all client-facing deliverables.

Requirements

  • Proven experience in a data analyst or insights role, preferably within healthcare.
  • Strong proficiency in quantitative analysis and statistical methodologies.
  • Ability to translate raw data into strategic business recommendations.
  • Excellent communication skills for presenting insights to global clients.
  • Bachelor's degree in Mathematics, Statistics, Economics, or a related field.

Benefits

  • Remote work flexibility
  • Competitive salary package
  • Opportunity to impact global healthcare
  • Collaborative and passionate team environment

Keywords

Data AnalysisClient AnalyticsQuantitative ResearchHealthcare DataBusiness IntelligenceInsights GenerationStatistical Analysis