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About the Role

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.

Responsibilities

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.

Requirements

Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
Significant experience in data analysis, business intelligence, or analytics roles
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
Excellent 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

Skills

Data Analysis
Business Intelligence
Analytics
SQL
Python
Data Visualization
Tableau
Power BI
Looker
matplotlib
seaborn
Databricks
Spark
Experimentation Design
A/B Testing
Statistical Analysis
Search Metrics
Retrieval Metrics
Ranking Metrics
Information Retrieval
Indexing
Ranking
Query Understanding
Clickstream Data
User Behavior Analytics
Event Tracking
ML-based Ranking Systems
ML-based Retrieval Systems
RAG Systems
GenAI Applications

Location

NLD Amsterdam (Radarweg)

Work Type

Flexible working hours

Experience Level

Senior

Education Level

Master’s or PhD

Salary/Compensations

€79,000 - €131,500

Benefits

Shared parental leave
Study assistance
Sabbaticals
Flexible working hours
Holiday allowance with the option to buy additional days
Health screening
Eye care vouchers
Private medical benefits
Life assurance
Optional additional life cover
Spouse's life cover at own cost
Competitive contributory pension scheme
Save As You Earn share option scheme
Optional self funded benefits
Electric vehicle scheme
Cycle to work scheme
Dental insurance
Critical illness cover
Health cash plan
Personal travel insurance
Travel season ticket loan
Paid time off when you become a parent
Paid time off for carers
Support for personal and work-related challenges
Access to emergency care for both the elderly and children
Time off to support the charities and causes that matter to you
Awards to recognize key service milestones

About the Company

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.
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.
Elsevier is a global leader in advanced information and decision support for science and healthcare.
We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.
We deliver insights that help research institutions, governments, and funders achieve their goals.
We help researchers discover and share knowledge, collaborate, and accelerate innovation.
We help librarians provide verified, quality information to universities.
We help innovators turn knowledge into new products.
We help health professionals improve patient care and educators train the next generation of doctors and nurses.
Connecting quality content and innovative technologies, we make progress go further and happen faster.
And by championing inclusion and sustainability, we ensure progress benefits all.
With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.
We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.
If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
Elsevier is part of RELX Group.
Let’s shape progress together.
Join us.
elsevier.com/about/careers

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