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.