Senior Data Analyst

Salary: £65,000 - 105,000 per year

Requirements:

• Masters 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 such as Tableau, Power BI, Looker, matplotlib, or 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 and retrieval metrics such as NDCG, recall, precision, and 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 such as indexing, ranking, and 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

Responsibilities:

• Lead analysis of search and retrieval system performance, including ranking quality and relevance
• Help define and standardize search evaluation metrics such as NDCG, MAP, recall, precision, and 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 such as Databricks, Spark, and 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 teams understanding of retrieval performance and measurement frameworks

Technologies:

• AI
• Business Intelligence
• Databricks
• Support
• Looker
• Power BI
• Python
• RAG
• SQL
• Spark
• Tableau

More:

We are Elsevier, a global leader in information and analytics, helping researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. Our Search & AI Evaluation team sits within the Platform Data Science organization and advances enterprise-scale search, retrieval, and evaluation capabilities across our global products, including Scopus AI, LeapSpace, ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. We offer a culture of innovation, collaboration, and excellence, with flexible working hours, healthy work/life balance, wellbeing initiatives, shared parental leave, study assistance, sabbaticals, and a wide range of country-specific benefits. Our location for this role is London Wall, and we are committed to providing a fair and accessible hiring process.

last updated 36 week of 2026