Analytics Engineer

Role Overview

As an Analytics Engineer, you will own the end-to-end delivery of robust, high-quality data products, designing, developing, and maintaining mission-critical data models to provide reliable and accessible product usage data.

What You Will Do

Your key mandate is to transform raw data into actionable insights that directly drive strategic product and business decisions, with a continuous focus on technical excellence and platform optimization.

Why It Might Be a Fit

You will partner with data engineers, product analysts, and business stakeholders to strategically align data insights with product improvements and business objectives.

Requirements

• 2+ years of experience in an Analytics Engineering or Data Warehousing role.
• Expert proficiency in SQL, including advanced techniques like window functions and proven ability in query performance optimization.
• Demonstrated expertise in dbt (Data Build Tool) for designing, developing, and maintaining complex data models, coupled with strong functional knowledge of a modern cloud data warehouse (e.g., Snowflake, BigQuery).
• Proven ability to apply data engineering best practices, including version control (Git/GitHub), modular coding, and automated testing, to maintain robust and reliable data pipelines.
• Strong understanding of data modeling principles (e.g., star/snowflake schemas, Slowly Changing Dimensions) and how to apply them to solve analytical business problems.
• Proficiency in Python or another scripting language is required.
• Experience with data orchestration tools (e.g., Airflow, Dagster) for building and managing data workflows.