Analytics Engineer

About This Role

This Analytics Engineer role is for a professional to join the Data Platform team, focusing on building a reliable and scalable analytical layer using Snowflake. The position bridges Data Engineering, Data Science, BI, and Business, with a core responsibility of transforming raw data into structured and reusable business data models and data marts.

Responsibilities

• Design and maintain analytics-ready data models in Snowflake
• Build and maintain transformations using dbt
• Develop reusable fact tables, dimensions, intermediate models and data marts
• Translate business processes and requirements into scalable data models
• Establish consistent definitions for key business metrics and KPIs
• Build automated data-quality tests and validation checks
• Create certified datasets for Power BI, Excel, Redash and Data Science
• Replace repetitive manual/Excel-based transformations with reusable Data Platform solutions
• Document models, business definitions and data lineage
• Work closely with Data Engineers, Data Scientists, analysts and business stakeholders
• Treat analytical models as production code using Git, code reviews, testing and controlled deployments

Requirements

• Strong SQL skills
• Practical experience with Snowflake or another modern cloud data warehouse
• Strong understanding of analytical and dimensional data modelling
• Practical knowledge of dbt
• Working knowledge of Git and Git-based development workflows
• Experience with ELT/ETL and complex data transformations
• Understanding of data-quality testing, documentation and lineage
• Basic Python knowledge
• Strong analytical and problem-solving skills
• Ability to understand complex business processes and translate them into data models

About the Company

The company aims to build a single source of truth for important business concepts and metrics, creating trusted, documented, and reusable business data products to enable faster analytics, better self-service BI, and reliable datasets for Data Science.