Do you like working with data and analytics to gain insight to solve problems
Do you enjoy collaborating across teams to build and deliver products that make a difference
About The Team
Help shape the future of Elsevier's technology infrastructure by bringing our operational data to life.
The Analytics and Insights team within Technology Infrastructure and Operations (TIO) delivers actionable reporting and insights on Elsevier's technology infrastructure and operational performance. We support technology operations and infrastructure teams, Technology leadership, and wider business stakeholders with analytics on Elsevier's technology estate, including our multi-cloud workplace.
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.
You will operate at the intersection of analytics and data engineering, transforming raw operational data into trusted, analytics-ready datasets.
Reporting areas include cloud efficiency (for example, AWS resource usage and optimization), software asset insights, and other operational performance metrics. You will develop and maintain data models using dbt to provide transparency and clarity into business metrics. You will own the transformation layer, primarily using dbt and Snowflake, applying software engineering principles to analytics development.
Responsibilities
- Design, build, and maintain scalable, modular data models using dbt to support analytics and reporting across Technology Infrastructure and Operations
- Translate business and reporting requirements into robust, reusable data models with clearly defined metrics and logic
- Implement data transformation best practices, including testing, documentation, version control
- Collaborate closely with data engineers to ensure reliable ingestion, schema evolution, and data quality controls
- Partner wit
📌 Senior Data Analyst III (Delhi)
🏢 Elsevier
📍 Delhi
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