Senior Engineering Intelligence Analyst

📋 Description

• Design and maintain interactive BI dashboards for engineering performance and delivery forecasts.
• Build scalable data pipelines integrating data from enterprise platforms, APIs, and cloud sources.
• Develop data models for centralized engineering metrics with governance.
• Write high-performance SQL and Python to extract, transform, and automate large datasets.
• Implement monitoring, alerts, and anomaly detection for risks and issues.
• Partner with stakeholders to translate needs into executive-ready analyses.

🎯 Requirements

• 5–8 years in analytics engineering, data engineering, or BI.
• Expert SQL (joins, window functions, CTEs) and optimization.
• Strong Python for data pipelines, automation, and ETL/ELT.
• Looker/LookML dashboards and semantic data models.
• REST APIs integration and scalable pipelines across enterprise systems.
• Cloud data platforms (BigQuery preferred) with data modeling and governance.

🎁 Benefits

• Full-time opportunity based in India.
• Work with modern cloud analytics platforms and large datasets.
• Exposure to BI, data engineering, and engineering analytics.
• Collaborative, cross-functional environment focused on innovation.
• Influence engineering strategy with data-driven insights.
• Inclusive and diverse workplace with equal opportunity.