Rockstargames
OpenSenior Analytics Engineer
- Location
- Manhattan, New York, United States
- Employment type
- Full-time
- Posted
- Jul 9, 2026
- Last seen
- Aug 7, 2026
About the role
At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data.
This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.
WHAT WE DO
- The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
- We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
- We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
- The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team.
RESPONSIBILITIES
- Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team.
- Collaborate with the Data Engineering team to design, develop and maintain scalable data models and pipelines.
- Monitor performance and optimize data systems for high performance and reliability.
- Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes.
- Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes.
- Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
- Contribute to the establishment of best practices including code s
