IT & Software

Senior Data Analyst

Elsevier

London · Greater London · United Kingdom

Overview

In this role you will act as a trusted analytics partner, leading complex data projects from planning to delivery. You will translate business questions into actionable data-driven plans and influence senior stakeholders with insights. You’ll work autonomously, mentor junior analysts, and collaborate with cross-functional teams to deliver impact in the STMJ data and analytics space. The opportunity sits at the heart of Elsevier’s mission to advance science and improve health outcomes through data-driven decision making. You will shape strategy and drive performance by applying evolving analytics techniques in a global context.

Pay / Benefits
  • Generous holiday allowance
  • Health and wellbeing benefits
  • Pension and savings plans
  • Life assurance and income protection
  • Flexible and hybrid working options
  • Learning and development opportunities
Responsibilities
  • Lead analytics projects from planning through delivery, turning vague problems into concrete actions
  • Partner with senior stakeholders to shape strategy using hypothesis-driven thinking and challenge assumptions with data
  • Identify and implement the most relevant analyses, metrics, and reporting solutions
  • Manage multiple projects concurrently with effective prioritisation
  • Collaborate with cross-functional teams to overcome challenges and deliver results
  • Evaluate and adopt new tools and techniques, including AI-assisted analytics
  • Coach and mentor junior data analysts and share best practices
Key requirements
  • Proven ability to influence decision-making with data-backed recommendations
  • Experience managing projects and delivering results independently
  • Solid grounding in analytics concepts (data modelling, blending, visualization)
  • Ability to balance multiple priorities in a fast-paced environment
  • Strong problem-solving and critical-thinking skills
  • Comfort with a dynamic technical landscape and learning new tools and methodologies
  • Experience in scholarly communications, publishing, or related field is advantageous but not required
  • stakeholder influencing
  • collaboration across functions
  • coaching and mentorship
  • data modelling
  • data blending
  • data visualization

Reference: WJ-747_30814596

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