Note: The job is a remote job and is open to candidates in USA. Elsevier B.V. is a global leader in information and analytics, aiming to support researchers and healthcare professionals. The Senior Data Analyst role involves leading analytics and evaluation efforts for search and retrieval systems, defining measurement strategies, and generating insights to improve user experience.
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
Skills
- 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
Benefits
- Dutch Share Purchase Plan
- Annual Profit Share Bonus
- Comprehensive Pension Plan
- Home, office or commuting allowance
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption and Family Care leave
- Flexible working hours
- Personal Choice budget
- Variety of online training courses and career roadshows
- Wellbeing programs and gym facility in the office
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Work from anywhere
- Employee Assistance Program (global)
- Shared parental leave
- Study assistance
- Sabbaticals
Company Overview
Company H1B Sponsorship