Senior Data Analytics Lead – Search & Retrieval

Elsevier; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Holiday allowance

Health screening

Pension scheme

Life assurance

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.

The role requires deep experience in search analytics, experimentation, and data visualization, with autonomy to influence cross-functional teams across products and platforms.

Qualifications

• Master’s 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 (e.g., Tableau, Power BI, Looker, matplotlib, 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/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics)
• Proven ability to translate complex data into actionable insights and influence decisions

Responsibilities

• Lead analysis of search and retrieval system performance, including ranking quality and relevance
• Define and standardize search 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 applications (including GenAI features) dependent on retrieval quality
• Design and lead A/B testing and experimentation frameworks
• Partner with product and data science to define success metrics and experiment strategies
• Ensure statistical rigor in experiment design and interpretation
• Build reusable analytics templates and scalable workflows
• Own dashboards tracking search performance and user engagement
• Develop data storytelling for stakeholders
• Enable self-service analytics through reporting tools
• Work with large datasets using platforms like Databricks, Spark, SQL

Skills

SQL

Python

Data visualization

Tableau

Power BI

Looker

matplotlib

seaborn

Databricks

Spark

Experimentation design

A/B testing

Statistical analysis

Ranking metrics

Education

Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field

PhD in Data Analytics, Statistics, Computer Science, or a related field

Tools

Databricks

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.

The role requires deep experience in search analytics, experimentation, and data visualization, with autonomy to influence cross-functional teams across products and platforms.