Senior Data Analyst: Search & Ranking Insights

Elsevier; City Of London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Holiday allowance

Health screening

Private medical benefits

Pension scheme

Share option scheme

Travel season ticket loan

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.

Ideal candidates have deep experience in search analytics, experimentation, and data visualization, with autonomy to influence cross-functional teams. Collaboration with product and data science is essential.

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 analytics and evaluation efforts for search and retrieval systems.
• Define measurement strategies and dashboards to monitor ranking quality and user experience.
• Design and implement A/B testing and experimentation frameworks for search improvements.
• Create clear data storytelling and self-service analytics for stakeholders.
• Collaborate with engineering to improve logging, observability, and data quality.
• Mentor and align cross-functional teams on retrieval performance metrics.

Skills

SQL

Python

Data visualization

Tableau

Power BI

Looker

Databricks

Spark

A/B testing

Experimentation

Ranking metrics

NDCG

MAP

Education

Master’s or PhD in Data Analytics

Tools

Databricks

Spark

SQL-based systems

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.

Ideal candidates have deep experience in search analytics, experimentation, and data visualization, with autonomy to influence cross-functional teams. Collaboration with product and data science is essential.