Senior Data Analyst II

RELX International; Amsterdam; On-site; EUR 65,000 - 101,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing programs

Parental leave

Study assistance

Sabbaticals

Job summary

Elsevier is seeking a Senior Data Analyst to own complex data products from questions to delivery. You will partner with senior stakeholders and technologists, contributing hands-on to data models and semantic layers for AI-based solutions while delivering reliable, reusable outcomes at pace.

You will collaborate across the STMJ Data & Analytics team to transform data into actionable insights that shape strategy and drive performance, innovation, and customer value within a global research

Qualifications

• Substantial experience in a data-oriented role and ownership of complex analytics projects.
• Strong communication with senior and technical stakeholders.
• Detail-oriented with strong problem‑solving skills.
• Experience in data prep and blending using tools such as Excel or Snowflake.
• Knowledge of AI-assisted product development practices is a plus.

Responsibilities

• Own and manage complex analytics projects from planning through delivery.
• Collaborate with product managers, analytics engineers and other technologists.
• Influence senior stakeholders and drive data-driven decision making.
• Adopt emerging tools and techniques to improve solutions and speed.
• Coach juniors in engagement, design and end-to-end project management.

Skills

Data analytics

Stakeholder communication

Problem solving

Attention to detail

Data prep & blending

AI-driven product development

Scholarly publishing domain experience

Tools

Excel

Snowflake

Job description

Senior Data Analyst

Are you excited by the opportunity to turn complex business questions into trusted data products and analytics solutions?

Would you enjoy combining analytics, stakeholder partnership and emerging AI techniques to help shape data-driven decision-making?

Location: Oxford

About our Team

Our STMJ (Science, Technology, and Medical Journals) team publishes high-quality, peer-reviewed research that drives progress across scientific and medical disciplines. We collaborate closely with authors, editors, reviewers, and societies to ensure the integrity and impact of the published work. Through innovation in editorial workflows and publishing technology, we help global research communities discover, evaluate, and disseminate knowledge that advances science and improves lives.

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

As a Senior Data Analyst, you will own complex data products and solutions from initial business questions through to delivery. You will partner with senior stakeholders and technical colleagues, contributing hands‑on to data models and semantic layers for AI‑based solutions while helping the team deliver reliable, reusable outcomes at pace.

Responsibilities

• Own and manage complex analytics projects from planning through delivery, translating loosely defined business questions into the right data solutions to address them
• Collaborate directly with product managers, analytics engineers and other technologists on data product and solution development, applying governance principles to ensure our products are reliable and reusable
• Engage and influence internally, acting as a trusted thought partner to senior stakeholders, playing a direct role in shaping strategy and advocating for data‑driven decision making
• Continuously adapt to new tools and technologies, adopting emerging techniques to improve our end solutions and critically, our speed of delivery
• Play a direct role in levelling up the team by coaching junior colleagues in business engagement, analysis design and end‑to‑end project management

Requirements

• Substantial experience in a data‑oriented role is essential, as is a proven track record of owning and managing complex projects to delivery
• Flexibility, speed and a bias for action are a must. Our team moves fast and so must you
• You are a confident and clear communicator who can influence both senior and technical stakeholders
• You are detail‑orientated and a critical thinker with excellent problem‑solving skills
• You have strong experience in data preparation and blending, whether in Excel, Snowflake or other data platforms
• Knowledge of AI assisted product development practices is an advantage, but not essential
• Experience in scholarly publishing, research or a related industry is an advantage, 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 sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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.

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