Senior Data Analyst - Search & Ranking Analytics (Flexible)

Elsevier; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Holiday allowance

Private medical benefits

Pension scheme

Share option scheme

Job summary

Elsevier is seeking a Senior Data Analyst to lead analytics and evaluation for search and retrieval systems. You will own analytical workflows, define measurement strategies, and generate insights to improve ranking quality, relevance, and user experience.

You will work with Databricks, Spark, and SQL-based platforms to analyze large datasets, design robust experiments, and partner with product teams to drive data-informed decisions.

Qualifications

• Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field
• 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)
• 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)
• Proven ability to translate complex data into actionable insights and influence decisions

Responsibilities

• Lead analytics and evaluation for search and retrieval systems, improving ranking quality and relevance
• Define and standardize evaluation metrics (NDCG, MAP, recall, precision, CTR)
• Analyze query behavior and user signals to identify optimization opportunities
• Conduct deep-dive analyses on ranking performance and retrieval gaps
• Support evaluation of downstream GenAI-powered features dependent on retrieval quality
• Design and lead A/B testing and experimentation frameworks for search improvements
• Collaborate with product and data science to define success metrics and experiments
• Ensure rigorous experiment design, analysis, and interpretation
• Build reusable analytics templates and scalable workflows
• Own dashboards and reporting tracking search performance and engagement
• Develop clear data storytelling for stakeholders
• Enable self-service analytics through reporting tools
• Collaborate with search data scientists, engineers, and product teams

Skills

SQL

Python

Data Visualization

Experimentation design

A/B testing

Ranking metrics

Search analytics

Communication

Education

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

Tools

Databricks

Tableau

Power BI

Looker

Spark

Job description

Elsevier is seeking a Senior Data Analyst to lead analytics and evaluation for search and retrieval systems. You will own analytical workflows, define measurement strategies, and generate insights to improve ranking quality, relevance, and user experience.

You will work with Databricks, Spark, and SQL-based platforms to analyze large datasets, design robust experiments, and partner with product teams to drive data-informed decisions.