RELXSenior Data Analyst II
RELX is hiring a Senior Data Analyst II. Level rates it ; you can apply on Level.
AI in this role
Own complex data analytics products and semantic layers supporting AI-based solutions while driving data-driven decision making.
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
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 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.
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.
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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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How we rate this
Senior Data Analyst II at RELX rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where project management was part of your work. What did you do?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Data Modeling, Stakeholder Management, and Project Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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