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We are looking for an experienced and autonomous Analytics Engineer to take charge of a strategic scope - be it Sales, Customer Success, product analytics, or marketing. This is a great opportunity to have a direct impact on our activities while exploring strategic areas for the company. The ideal candidate will have strong technical skills across these verticals, with proficiency in SQL, DBT and a solid understanding of modeling best practices. The goal is to provide full ownership of the data-related scope, enabling you to drive initiatives and deliver impactful results. Our data team is laying the foundations of a modern stack (dbt Core, Databricks) and integrating AI into its workflows (self-serve internal chatbot, predictive models on our customer base…). The Senior AE joining us will not only own robust data models, but will be an active contributor to these AI initiatives.
Job Responsibility:
Partnering with business stakeholders to prioritize data needs and translate them into actionable data products
Owning data quality standards, validation frameworks, and documentation to ensure trust in the data
Gathering all necessary data to address current and future challenges
Building robust data models that ensure flexibility for all existing and future needs
Delivering actionable insights and solutions that directly influence business strategy and operational efficiency
Mentoring junior team members (code reviews, pairing sessions, design reviews)
Requirements:
Have +4 years of experience as an analytics engineer
Have high proficiency in SQL and DBT
Thrive in a fast-pace environment
Experience with Data modeling and a visualization tool
Experience with Orchestration tools (Airflow or other)
Experience with GitHub/GitLab
Previous experience in mentoring more junior Analytics Engineers
Nice to have:
Proficiency with Databricks
Proficiency in Python
Experience in a scale up company
What we offer:
Attractive compensation package
Hybrid model with remote days
Up to 15 days of remote work from abroad each year