Senior Data Analyst
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.
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.
Working for you
We know that your wellbeing and happiness are key to a long and successful career.
These are some of the benefits we are delighted to offer:
- 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. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
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