Principal Insights Engineer

Overview

The Principal Insights Engineer is a senior technical individual contributor who turns analytical technology into scalable, reliable, and usable products for business stakeholders. The role sits at the intersection of BI, Data Science, and Data Engineering, focusing on technology innovation, operationalizing forecasting, and building internal applications for insight delivery.

What you'll do

• Grow the ability to deploy ML models and use their outputs in Business Intelligence tools.
• Apply new tools or new features to existing business cases to determine usability.
• Convert data science models into production-ready forecasting systems that are versioned, monitored, documented, and reliable.
• Promote product-level data quality through technical controls such as data quality checks and automated monitoring.
• Prototype new ways of consuming insights beyond dashboards.
• Build and enhance custom data applications, such as Streamlit apps or embedded analytics experiences, for business partners.
• Develop scalable approaches for integrating forecasts and advanced analytics into business workflows.
• Develop monitoring and alerting tools to improve the reliability and consistent operation of insight products.
• Build tests and right-sized automation to reduce breakage and manual effort.
• Produce clear documentation for pipelines, interfaces, and forecasting workflows.
• Work closely with BI Lab leadership on prioritization and business alignment.
• Partner with data scientists on inputs/outputs, feature sets, and model expectations.
• Collaborate with IT and Data Teams on pipelines, compute, and tooling, and support scaled development.
• Ask detailed questions directly to clarify requirements when needed.
• Operate as an 50% builder / 50% guide.
• Deliver usable solutions quickly, with the understanding that internal IT partners can provide architectural refinement over time.
• Create initial patterns for forecasting, insight delivery, and lightweight applications that can scale as demand grows.

What you'll need

• 8-10 years of experience in BI tooling and experience with Machine Learning Models or similar roles with strong experience in data/analytics.
• Demonstrated experience building and deploying production-grade analytical tools.
• Experience operationalizing machine learning or forecasting models.
• Strong Python and SQL skills.
• Ability to work with complex data structures.
• Experience implementing data quality checks, monitoring, alerting, or other observability practices.
• Ability to build internal-facing tools or applications using low code/no code apps.
• Strong communication skills.
• Ability to ask clarifying questions and work independently with minimal specification.

Nice to have

• Familiarity with feature engineering pipelines.
• Exposure to CI/CD concepts for data or application deployment.
• Experience building internal tools or user interfaces for consuming analytics.
• Prior work in a global or cross-functional technical environment.

Details

• Location: Pune, Maharashtra, India.