Analytics Engineer

Role Overview

Join the Data Team as an Analytics Engineer to bridge the gap between raw data and business insights by building a robust, scalable, and high-performance data warehouse. Empower over 50 employees across Product, Growth, and Finance teams by making data accessible and reliable.

What You Will Do

Build & Model: Design and implement efficient, robust data models from a wide variety of sources to serve as our ‘Single Source of Truth’. Help define and manage the tracking plan to ensure complete coverage of all features. End-to-End Ownership: Manage the entire data lifecycle, including ingestion, transformation, and usage through visualization and reverse ETL.

Why It Might Be a Fit

Steer our strategic roadmap by overseeing a comprehensive range of metrics: Business Macro KPIs, Marketing Performance & Analysis, Predictive Modeling, Deep-dive & Cohort Analysis, User Lifecycle & Funnel, and Global Usage Patterns.

Requirements

• 3 to 5 years of experience as an Analytics Engineer in AdTech / MarTech or high-traffic environments
• Experience with Tracking, CDP, Data Marketing, and AB Testing
• Proven experience in predictive analysis and scenario building
• Advanced expertise in SQL and deep experience with DBT for data transformation
• A strong appetite for data modeling and building scalable architectures
• Proficiency in statistics and experience with Product Analytics and BI tools
• Solid experience with Python and knowledge of AWS environments (Redshift, Spectrum) and DevOps basics
• Ability to optimize data processes for high-traffic environments

Benefits

• Egym Wellpass membership
• Swile meal vouchers
• Cutting-edge equipment
• 1 remote working day per week for a better Work-Life Balance
• Great moments with colleagues, afterworks, team breakfasts, team buildings

Tagged as: Python, SQL