Senior Data Analyst, Search & Retrieval Analytics

RX Brasil; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Pension scheme

Paid time off

Job summary

Elsevier’s Search & AI Evaluation team seeks a Senior Data Analyst to lead analytics for search and retrieval systems, driving ranking quality and user satisfaction. You will own analytical workflows, metrics, and insights across cross-functional teams, influencing product decisions.

This role emphasizes expertise in experimentation, data storytelling, and scalable analytics on large-scale datasets with modern platforms like Databricks and Spark, while collaborating across engineering and

Qualifications

• Master’s or PhD in Data Analytics, Statistics, Computer Science, or 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 (Tableau, Power BI, Looker, matplotlib, seaborn).
• Experience 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 (NDCG, recall, precision, ranking metrics).
• Proven ability to translate complex data into actionable insights and influence decisions.

Responsibilities

• Lead analytics and evaluation for search and retrieval systems to improve ranking quality and user experience.
• Define and standardize search evaluation metrics (NDCG, MAP, recall, precision, CTR).
• Analyze query behavior 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)
• Design and lead A/B testing and experimentation frameworks for search improvements.
• Partner with product and data science to define success metrics and experiment strategies.
• Ensure statistical rigor in experiment design and interpretation.
• Build reusable experimentation templates and scalable analysis workflows.
• Own dashboards and reporting systems tracking search performance and engagement.
• Develop clear data storytelling for stakeholders and enable self-service analytics.

Skills

SQL

Python

Data visualization

Experimentation

A/B testing

Education

Master's or PhD in Data Analytics/Statistics/CS

Tools

Databricks

Spark

Job description

Elsevier’s Search & AI Evaluation team seeks a Senior Data Analyst to lead analytics for search and retrieval systems, driving ranking quality and user satisfaction. You will own analytical workflows, metrics, and insights across cross-functional teams, influencing product decisions.

This role emphasizes expertise in experimentation, data storytelling, and scalable analytics on large-scale datasets with modern platforms like Databricks and Spark, while collaborating across engineering and