SeniorFull TimeEN
Job Title: Senior Data Analyst I
Location: Netherlands, UK
About the team:
Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines.
The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products.
We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience.
This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams.
Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.
Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).
Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities.
Conduct deep-dive analyses on ranking performance, query intent, and retrieval gaps.
Support evaluation of downstream applications (including GenAI-powered features) where they depend on retrieval quality.
Help design and lead A/B testing and experimentation frameworks for search and ranking improvements.
Partner with product and data science to define success metrics and experiment strategies.
Ensure statistical rigor in experiment design, analysis, and interpretation.
Build reusable experimentation templates and scalable analysis workflows.
Own and evolve dashboards and reporting systems tracking search performance and user engagement.
Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders.
Enable self-service analytics for partners through well-designed reporting tools.
Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).
Ensure high standards for data quality, metric consistency, and instrumentation reliability.
Collaborate with engineering to improve logging, tracking, and observability of search systems.
Act as a key analytics partner to search data scientists, engineers, and product teams.
Help elevate the team’s understanding of retrieval performance and measurement frameworks.
Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
~3–5+ years of experience in data analysis, business intelligence, or analytics roles
Strong proficiency in SQL and Python for large-scale data analysis
Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)
Experience working with Databricks or similar large-scale data platforms
Strong understanding of experimentation design, A/B testing, and statistical analysis
Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics)
Proven ability to translate complex data into actionable insights and influence decisions
PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
Experience working on search, ranking, or recommendation systems
Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding)
Exposure to clickstream data, user behavior analytics, and event tracking systems
Experience supporting evaluation of ML-based ranking or retrieval systems
Familiarity with RAG systems or GenAI applications
Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organization. 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.
Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
About the business
As 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.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
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:
