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Elsevier
Senior Data Analyst I
🇮🇳
Bengaluru, Karnataka
🕑
Full-Time
💰
TBD
💻
Data Science
🗓️
September 14th, 2026
SQL
Python
Data Analytics
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
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