Senior Data Analyst

RELX International; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Generous holiday allowance

Health and wellbeing benefits

Pension and savings plans

Life assurance and income protection

Flexible and hybrid working options

Employee assistance programmes

Learning and development opportunities

Job summary

Elsevier’s STMJ Data & Analytics team in London or Oxford seeks a Senior Data Analyst to partner with stakeholders, lead complex analytics initiatives, and drive data-driven decisions. You will manage projects with autonomy, act as a subject matter expert, and mentor junior analysts across enterprise-grade platforms within a global analytics organization.

You’ll join a large team that values innovation, continuous learning, and adaptive methods, including emerging AI techniques.

Qualifications

• Influence decision-making with data-backed recommendations.
• Experience managing projects and delivering results independently.
• Strong analytics concepts including data modelling and visualization.
• Ability to balance multiple priorities in a fast-paced environment.
• Strong problem-solving and critical-thinking abilities.
• Comfort learning new tools and technologies.
• Experience in scholarly communications, publishing, or a related industry is advantageous.

Responsibilities

• Lead complex analytics projects from planning through delivery, translating business problems into a clear action plan.
• Act as a trusted thought partner to senior stakeholders, shaping strategy using hypothesis-driven thinking.
• Identify and execute the most relevant analyses, metrics, and reporting solutions.
• Manage multiple projects concurrently while prioritising workload.
• Collaborate with cross-functional teams to overcome challenges and deliver results.
• Adapt to new tools and techniques, including AI-assisted analytics, as the field evolves.
• Coach and mentor junior data analysts, sharing best practices.

Skills

Influence decisions

Project management

Analytics concepts

Prioritisation

Problem solving

Learn new tools

Job description

Do you want to use data to shape decisions across the global research communications industry? Do you thrive on leading stakeholders from a business question to a data-driven action?

Location: London or Oxford

About Our Team

The Scientific, Technical & Medical Journals (STMJ) business, part of Elsevier, provides researchers with a trusted platform to publish and share their work. Publishing research across approximately 3,000 journals annually, STMJ plays a critical role in advancing scientific discovery and knowledge dissemination worldwide.

The STMJ Data & Analytics team is a global group of data professionals dedicated to delivering high-quality insights and analytics that enable data-driven decision‑making. Working closely with stakeholders across the business, the team transforms complex data into actionable recommendations that drive performance, innovation, and customer value.

About The Role

We are seeking a Senior Data Analyst to join our STMJ Data & Analytics team. You will act as a trusted thought partner to stakeholders, leading complex analytics initiatives, independently managing projects, and helping to shape business decisions through data.

As a senior member of the team, you will work with a high degree of autonomy, serve as a subject matter expert, and support the development of junior analysts through coaching and knowledge sharing. You'll join a large, established team of data professionals that supports STMJ, with direct access to enterprise‑grade platforms and tools, and be a part of a wider Elsevier organisation that's a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes worldwide.

Responsibilities

• Lead complex analytics projects from planning through delivery, translating loosely defined business problems into a clear plan of action.
• Act as a trusted thought partner to senior stakeholders, shaping strategy, guiding them through hypothesis driven thinking, and challenging assumptions through data.
• Identify and execute the most relevant analyses, metrics, and reporting solutions.
• Manage multiple projects simultaneously while effectively prioritising workload.
• Collaborate with cross‑functional business and technical teams to overcome challenges and deliver results.
• Continuously adapt to new tools and technologies, evaluating and adopting emerging techniques, including AI‑assisted analytics, as the field evolves.
• Coach and mentor junior data analysts, sharing best practices and analytical expertise.

Requirements

• Demonstrated ability to influence decision-making through data-backed recommendations.
• Proven experience managing projects and delivering results independently.
• Good understanding of core analytics concepts, such as data modelling, blending, and visualization.
• Experience balancing multiple priorities in a fast‑paced environment.
• Strong problem‑solving and critical‑thinking abilities.
• Comfort operating in a fast‑changing technical landscape and learning new tools, technologies, and analytical methodologies.
• Experience within scholarly communications, publishing, or a related industry is advantageous but not essential.

Applicants must include a cover letter. This should clearly describe your interest in the role and how your skills, knowledge, and experience would contribute to the journal. Applications that do not include a cover letter will not be reviewed.

Work in a way that works for you

We promote a healthy work‑life balance across the organisation. We offer an appealing working prospect for our people, with numerous wellbeing initiatives, shared parental leave, study assistance, and flexible working arrangements to help you meet your personal and professional goals.

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
• Learning and development opportunities

About Us

A global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes. Our innovative solutions combine world‑class scientific information with technology and analytics to help make research more effective and impactful.

If performed in NLD Amsterdam (Radarweg), the base pay range is €59,300 - €98,800.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.