Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing
Analytics Engineer
We are seeking a talented, motivated, and self-driven professional to join one of the Pharma Giant's Human Health Insights, Analytics, and Data (HHIAD) organization and play an active role in one of the Pharma Giant's Human Health transformation journey to become the premier "Data First" commercial biopharma organization.
As an Analytics Engineer, you will be part of the HHIAD Commercial Data Solutions team, providing technical/data expertise development of analytical data solutions to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment, and delivery.
Your specific responsibilities will include:
• Design and implementation of last-mile data products using the most up-to-date technologies and software/data/DevOps engineering practices
• Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
• Develop deep data domain expertise and business acumen to ensure that all specificities and pitfalls of data sources are accounted for
• Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts, and visualization developers on how to use these data models
• Develop analytical data products for reusability, governance, and compliance by design
• Design and Implement semantic layer for analytics data solutions
• Support data stewards and other engineers in maintaining data catalogs, data quality measures, and governance frameworks
Analytics Engineer
We are seeking a talented, motivated, and self-driven professional to join one of the Pharma Giant's Human Health Insights, Analytics, and Data (HHIAD) organization and play an active role in one of the Pharma Giant's Human Health transformation journey to become the premier "Data First" commercial biopharma organization.
As an Analytics Engineer, you will be part of the HHIAD Commercial Data Solutions team, providing technical/data expertise development of analytical data solutions to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment, and delivery.
Your specific responsibilities will include:
• Design and implementation of last-mile data products using the most up-to-date technologies and software/data/DevOps engineering practices
• Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
• Develop deep data domain expertise and business acumen to ensure that all specificities and pitfalls of data sources are accounted for
• Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts, and visualization developers on how to use these data models
• Develop analytical data products for reusability, governance, and compliance by design
• Design and Implement semantic layer for analytics data solutions
• Support data stewards and other engineers in maintaining data catalogs, data quality measures, and governance frameworks
💡 Quick Summary
Seeking a career-building opportunity? The Analytics Engineer position is now open for candidates interested in the MIS Executive sector. This role in Gurugram offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in MIS Executive is a plus.
