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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)
~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

Skills

SQL
Python
Data Visualization
BI tools
Tableau
Power BI
Looker
matplotlib
seaborn
Databricks
Spark
SQL-based systems
Experimentation design
A/B testing
Statistical analysis
Search metrics analysis
Retrieval metrics analysis
NDCG
MAP
Recall
Precision
CTR
Information retrieval concepts
Clickstream data analysis
User behavior analytics
Event tracking systems
RAG systems
GenAI applications

Location

Netherlands
UK

Work Type

Flexible working hours
Work from anywhere

Experience Level

Senior
3-5+ years of experience

Education Level

Master’s degree
PhD

Salary/Compensations

€59,300 - €98,800

Benefits

Shared parental leave
Study assistance
Sabbaticals
Dutch Share Purchase Plan
Annual Profit Share Bonus
Comprehensive Pension Plan
Home, office or commuting allowance
Generous vacation entitlement
Option for sabbatical leave
Maternity, Paternity, Adoption and Family Care leave
Personal Choice budget
Variety of online training courses and career roadshows
Wellbeing programs
Gym facility in the office
Internal communities and networks
Various employee discounts
Recruitment introduction reward
Employee Assistance Program (global)

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 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.

Equal Opportunity

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.