Analytics Engineer / Senior Analytics Engineer
Core
Transform messy data ecosystems into clean, trusted analytics layers that fuel high-stakes commercial SaaS applications for global enterprise B2B customers.
Role type
Senior IC Analytics Engineer (Data Engineering/Data Science intersection)
Builds
Production-grade data pipelines, analytical logic, and business-critical algorithms (e.g., anomaly detection, tracking patterns)
Domain
Commercial SaaS / Enterprise B2B
Deliverable
production ML models | product features
Required skills
Python (programming and scripting), Advanced SQL, Database normalization, Schema architecture (Star Schemas), Version control (Git), Algorithm design, Data cleansing
Preferred skills
Databricks, PySpark, Hands-on data analysis, Pipeline manipulation
Responsibilities
Structure and validate vague commercial goals or unorganized datasets; Develop and test custom analytical logic and business-critical algorithms; Design end-to-end data models and robust data pipelines; Interpret data to provide actionable business insights; Act as a technical bridge between Product Management, backend engineering, and data platform operations
