Senior Data Analyst I

🇮🇳 Bengaluru, Karnataka 🕑 Full-Time 💰 TBD 💻 Data Science 🗓️ September 14th, 2026

Data Analytics SQL Python

Edtech.com's Summary

Elsevier is hiring a Senior Data Analyst I to join the Content and Data Analytics team within DataOps and Global Operations, supporting Product Owners, Product Managers, Data Scientists, and Research Data Platform domain teams. This work contributes to Elsevier products including Scopus and SciVal. The role independently delivers complex analytical work using Databricks, Snowflake, SQL, and Python to analyze large datasets and produce advanced-level insights and recommendations.

Highlights

Analyzes large datasets to answer questions from Product Owners or Data Scientists
Performs large-scale data preparation to test hypotheses, support prototypes, and review the precision and recall of data science algorithms at scale
Assesses data and product quality, supporting the development and improvement of data products
Builds and maintains strong relationships with Product Managers and Data Scientists
Presents achievements and project status updates, in writing and verbally, to various stakeholders
Requires a minimum of 5 years of experience in business intelligence, data engineering, analytics, data analysis, or a related discipline
Calls for strong SQL skills, including experience working with large and complex datasets
Draws on coding skills in at least one programming language, preferably Python, and practical experience with Databricks, Apache Spark, PySpark, Pandas, or similar distributed data-processing technologies
Benefits from knowledge of visualization tools such as Tableau or Power BI
Based in Bengaluru, India

Senior Data Analyst I Full Description

About the Role

Elsevier is hiring a Senior Data Analyst I to join the Content and Data Analytics team within DataOps and Global Operations, supporting Product Owners, Product Managers, Data Scientists, and Research Data Platform domain teams. This work contributes to Elsevier products including Scopus and SciVal. You'll independently deliver complex analytical activities using Databricks, Snowflake, SQL, and Python, analyzing large datasets to create advanced-level insights and recommendations.

What You'll Do

Analyze large datasets to answer questions from Product Owners or Data Scientists
Perform large-scale data preparation to test hypotheses, support prototypes, and review the precision and recall of data science algorithms at scale
Assess data and product quality, and support the development and improvement of data products
Build and maintain strong relationships with Product Managers and Data Scientists
Present achievements and project status updates, both in writing and verbally, to various stakeholders

What You'll Need

Minimum of 5 years of work experience in business intelligence, data engineering, analytics, data analysis, or a related discipline
Strong SQL skills, including experience working with large and complex datasets
Coding skills in at least one programming language, preferably Python
Practical experience using Databricks, Apache Spark, PySpark, Pandas, or similar distributed data-processing technologies
Experience using basic statistics relevant to data science, such as precision, recall, and statistical significance
Knowledge of visualization tools such as Tableau or Power BI is a plus