Senior Data Analyst III

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

DBT Power BI Python

Edtech.com's Summary

Elsevier is hiring a Senior Data Analyst to design, build, and maintain scalable data models that support analytics and reporting for the company's IT and multi-cloud infrastructure. The role involves translating business requirements into reusable data models, implementing data transformation best practices, and leading analytics initiatives from discovery through support.

Highlights

Design, build, and maintain modular data models using dbt.
Translate business and reporting requirements into robust data models with clear metrics.
Apply data transformation best practices including testing, documentation, and version control.
Collaborate with data engineers on data ingestion, schema evolution, and quality controls.
Lead analytics projects end-to-end, including discovery, development, validation, and release.
Advanced SQL skills with performance optimization and complex transformation logic.
Experience with dbt for production data model management and Python for automation.
Familiarity with cloud data warehouses, preferably Snowflake, and AWS or equivalent cloud platforms.
Proficient in Tableau or Power BI for data visualization.
Background in analytics engineering, data transformation, or modern BI engineering roles.

Senior Data Analyst III Full Description

About the Team
The Analytics and Insights team within Technology Infrastructure and Operations (TIO) delivers actionable reporting and insights on Elsevier's technology infrastructure and operational performance, supporting technology operations, infrastructure teams, and business stakeholders.

About the Role
As a Senior Data Analyst, you will design, build, and maintain scalable, well-governed data models that power analytics and reporting across Elsevier's IT and multi-cloud infrastructure estate, operating at the intersection of analytics and data engineering.

Responsibilities

Design, build, and maintain scalable, modular data models using dbt to support analytics and reporting.
Translate business and reporting requirements into robust, reusable data models with clearly defined metrics and logic.
Implement data transformation best practices, including testing, documentation, and version control.
Collaborate with data engineers to ensure reliable ingestion, schema evolution, and data quality controls.
Lead analytics initiatives end-to-end: discovery, requirements, development, validation, release, and support.

Requirements

Significant experience in analytics engineering, data transformation, or modern BI engineering roles.
Advanced SQL expertise, including performance optimization and complex transformation logic.
Experience building and maintaining data models using dbt in production environments; Python for data processing and automation.
Experience working with cloud data warehouses, preferably Snowflake, and AWS or equivalent cloud technologies.
Experience with Tableau or Power BI.

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

Design, build, and maintain scalable, modular data models using dbt to support analytics and reporting.
Translate business and reporting requirements into robust, reusable data models with clearly defined metrics and logic.
Implement data transformation best practices, including testing, documentation, and version control.
Collaborate with data engineers to ensure reliable ingestion, schema evolution, and data quality controls.
Lead analytics initiatives end-to-end: discovery, requirements, development, validation, release, and support.

Requirements

Significant experience in analytics engineering, data transformation, or modern BI engineering roles.
Advanced SQL expertise, including performance optimization and complex transformation logic.
Experience building and maintaining data models using dbt in production environments; Python for data processing and automation.
Experience working with cloud data warehouses, preferably Snowflake, and AWS or equivalent cloud technologies.
Experience with Tableau or Power BI.