Senior Analytics Engineer

Analytics Architecture & Data Modeling:

• Design and maintain scalable data models.
• Own the semantic layer and ensure consistent metric definitions.
• Develop and maintain transformation pipelines.

Data Pipeline Development & Reliability:

• Build and maintain reliable data pipelines.
• Improve data freshness, performance, and scalability.
• Implement testing, monitoring, and validation frameworks.

Analytics Enablement & Reporting Infrastructure:

• Power the dashboards and reporting.
• Optimize the BI layer to improve performance and usability.
• Reduce manual reporting by building reusable datasets.

AI & Advanced Analytics Enablement:

• Design data models that support experimentation.
• Collaborate with data science to operationalize model outputs.
• Ensure clean, well-documented datasets.