Data Analyst III

🇮🇳 Chennai, Tamil Nadu 🕑 Full-Time 💰 TBD 💻 Data Science 🗓️ August 14th, 2026

Pandas Power BI Python

Edtech.com's Summary

Elsevier is hiring a Data Analyst III. This role involves supporting Data Scientists and Product Owners by analyzing large datasets, preparing data for testing hypotheses, and reviewing algorithm performance metrics. The analyst builds relationships with stakeholders and provides updates on project progress.

Highlights

Support Data Scientists and Product Owners within the Research Data Platform domains.
Analyze large datasets to answer questions and support prototypes.
Perform large-scale data preparation and review algorithm precision and recall metrics.
Build and maintain relationships with stakeholders, presenting project status and achievements.
Minimum 3 years of work experience required.
Proficiency in Python or other programming languages and SQL.
Familiarity with regular expressions and string manipulation.
Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra.
Knowledge of statistics relevant to data science including precision, recall, and F-score.
Experience with visualization tools such as Tableau or Power BI is a plus.

Data Analyst III Full Description

About Our Team
The Content and Data Analytics team is part of DataOps, an integral part of Global Operations at Elsevier. The team provides data analysis services, primarily using Databricks, mostly serving product owners and data scientists of Elsevier's Research Data Platform, contributing to leading data analytics products including Scopus and SciVal.

About the Role
A Data Analyst III has a basic understanding of best practices and can execute on projects and initiatives with supervision from others, creating basic level insights and recommendations while beginning to lead analytics efforts with low complexity.

Responsibilities

Support Data Scientists/Product Owners working within the Domains of the Research Data Platform.
Dive into large datasets to answer questions from product owners or data scientists.
Perform large-scale data preparation to test hypotheses or support prototypes.
Review the precision and recall of data science algorithms at scale and surface these as dashboard metrics.
Build and maintain strong relationships with Data Scientists and Product Managers, presenting achievements and project status updates to stakeholders.

Requirements

Minimum work experience of 3 years.
Coding skills in at least one programming language (preferably Python) and SQL.
Familiarity with regular expressions and string manipulation functions.
Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra.
Knowledge of basic statistics relevant to data science (precision, recall, F-score).
Knowledge of visualization tools such as Tableau/Power BI is a plus.

About the Business
Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.

Original Job Description

Responsibilities

Support Data Scientists/Product Owners working within the Domains of the Research Data Platform.
Dive into large datasets to answer questions from product owners or data scientists.
Perform large-scale data preparation to test hypotheses or support prototypes.
Review the precision and recall of data science algorithms at scale and surface these as dashboard metrics.
Build and maintain strong relationships with Data Scientists and Product Managers, presenting achievements and project status updates to stakeholders.

Requirements

Minimum work experience of 3 years.
Coding skills in at least one programming language (preferably Python) and SQL.
Familiarity with regular expressions and string manipulation functions.
Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra.
Knowledge of basic statistics relevant to data science (precision, recall, F-score).
Knowledge of visualization tools such as Tableau/Power BI is a plus.