Senior Data Analyst II

Elsevier; Amsterdam; Presencial; EUR 71.000 - 100.000; Jornada completa

Descripción de la vacante

Elsevier, a global leader in information and analytics, seeks a Senior Data Analyst to own complex data products from question to delivery. You will partner with senior stakeholders and technologists, contributing hands-on to data models and semantic layers for AI-driven solutions while ensuring reliable, reusable outcomes at pace.

You will collaborate with product managers and analytics engineers, influence strategy, and adopt new tools to boost speed and impact across publishing and research

Formación

• Substantial experience in a data-oriented role and a proven track record of owning and delivering complex analytics projects.
• Bias for action and the ability to move fast in a dynamic team environment.
• Clear communication and influence with senior and technical stakeholders.
• Detail-oriented with strong problem-solving skills and analytical rigor.
• Experience with data preparation/blending in Excel, Snowflake or similar platforms; AI product development benefit.

Responsabilidades

• Own and manage complex analytics projects from planning through delivery, translating business questions into data solutions.
• Collaborate with product managers, analytics engineers and technologists to develop data products while ensuring governance and reusability.
• Engage with senior stakeholders to shape strategy and advocate for data-driven decision making.
• Adopt emerging tools/techniques to improve solutions and speed of delivery.
• Mentor and coach junior colleagues in business engagement and end-to-end project management.

Conocimientos

Stakeholder management

Data blending

AI techniques

Problem solving

Communication

Herramientas

Snowflake

Excel

Descripción del empleo

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.

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

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 team. 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 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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