Description
🌍 Do you enjoy modeling data, improving data quality and helping teams make decisions based on numbers they can trust? As a Analytics Engineer at Ecommpay, you'll be the bridge between raw data and real business insight. You'll make sure that when two teams look at the same metric, they see the same number, and they understand exactly what it means.
You'll bring structure, clarity and consistency to the way data is built and used across the company. This role is also at the heart of how we bring AI into our everyday work. The data foundations you create will help analysts, business teams and AI tools find reliable answers faster.
If you enjoy combining strong engineering practices with business understanding, and you're excited about using AI tools in your daily work, this role lets you shape how data is built and used in a fast-growing FinTech.
What you will do
Design and develop the analytics data layer: model data marts (dimensional modeling, star schema) and define grain and business entities Build and maintain data transformations in SQL and Python, orchestrated in Airflow Develop the semantic layer in Looker (LookML) with a single definition for every metric and dimension Implement data quality checks, including: tests, freshness, completeness monitoring and alerts Document models, metrics and lineage Work with business teams, analysts and data engineers to turn requirements into data models with agreed metric definitions Use AI tools to speed up development, refactori
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