Senior Data Analyst

Company: RELX Group
Apply for the Senior Data Analyst
Location: London
Job Description:

Overview

In this Senior Data Analyst role, you partner with STMJ stakeholders to translate business questions into data-driven actions. You lead analytics initiatives with autonomy, acting as a subject matter expert and mentoring junior analysts. You’ll shape strategy through hypothesis-driven analysis and deliver actionable insights that inform business decisions. The opportunity sits within a global leader in information and analytics, contributing to scientific discovery and improved health outcomes.

Pay / Benefits

  • Generous holiday allowance
  • Health and wellbeing benefits
  • Pension and savings plans
  • Life assurance and income protection
  • Flexible and hybrid working options
  • Employee assistance programmes

Responsibilities

  • Lead complex analytics projects from planning to delivery, clarifying business problems into actionable plans
  • Act as a trusted partner to senior stakeholders, guiding hypothesis-driven thinking and challenging assumptions with data
  • Identify and execute relevant analyses, metrics, and reporting solutions
  • Manage multiple projects simultaneously with effective prioritisation
  • Collaborate with cross-functional teams to overcome challenges and deliver results
  • Adapt to new tools and technologies, evaluating AI-assisted analytics as the field evolves
  • Coach and mentor junior data analysts, sharing best practices and expertise

Key requirements

  • Influence decision-making through data-backed recommendations
  • Experience managing projects and delivering results independently
  • Strong understanding of analytics concepts: data modelling, blending, visualization
  • Ability to balance multiple priorities in a fast-paced environment
  • Strong problem-solving and critical-thinking abilities
  • Comfort with rapid changes in technology and learning new tools
  • Experience in scholarly communications, publishing, or related industry advantageous but not essential
  • stakeholder influence
  • collaboration
  • mentoring and coaching
  • data modelling
  • data blending
  • data visualization

…

Posted: October 21st, 2026