Analytics Engineer
Core
Design data models, schemas, and pipelines while developing and testing custom analytical logic and algorithms to drive commercial decisions.
Role type
Analytics Engineer (Data Engineering & Data Science bridge)
Builds
End-to-end data models, schema designs, and data pipelines
Domain
Enterprise operations / Commercial SaaS
Deliverable
production ML models
Required skills
Python, SQL, database normalization, schema architecture, Git, algorithm validation, multi-dimensional numerical frameworks
Preferred skills
Databricks, PySpark, Product company experience, startup experience, commercial SaaS enterprise experience
Technologies
Python, SQL, Git, Databricks, PySpark
Responsibilities
Transform data by breaking down commercial goals from complex datasets; Develop, test, and iterate on custom analytical logic and business-critical algorithms; Design end-to-end data models, schema design, data pipelines & quality boundaries; Interpret data in the context of enterprise client operations; Act as a bridge between Product Management, backend engineering and data teams
Seniority
Individual Contributor