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# Senior Data Analyst

- **Company:** RELX INC
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Salary:** €4,942.0 - €8,233.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analytics
- **Published:** September 29, 2026
- **Apply:** https://dejobs.org/x/x/6938DE5016BC4F14AE7E5272EE9445DF/job/

## About the Role

* 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.

## Description

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.


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