Analytics Engineer
Darwin AIBuenos Aires, Buenos Aires, ARHace más de 30 días
Tipo de contrato
- Quick Apply
Descripción del trabajo2-4 years of experience in data analytics, analytics engineering or data engineering. Strong proficiency in SQL for querying and building datasets. Experience working with Python in production using version control. Experience using orchestrator tools like Airflow or Dagster. Experience using data transformation tools like dbt. Strong problem-solving skills and attention to detail. Ability to communicate complex data findings in a clear and business-oriented manner. English proficiency for reading and writing; speaking is a plus. Language Classes : Access to language classes (English, Portuguese, Spanish) to enhance communication skills. OpenAI Premium License : Complimentary access to an OpenAI premium license for personal or professional use. Paid Time Off : Enjoy 25 days / year of paid vacations and holidays to recharge and maintain a healthy work-life balance. Soft Hybrid Work : We meet 3 days / month in our Co Work offices, the rest of the time you can work remotely from wherever you like!
About Darwin AI :
Darwin AI is transforming the way businesses interact with their customers by deploying AI-powered agents that enhance customer experience and streamline operations. We are a fast-growing company with a strong presence in Latin America, and we are looking for talented individuals to join our team.
Role Overview :
We are seeking a Semi-Senior Analytics Engineer to join our data team. The ideal candidate is a proactive, analytical thinker who enjoys working with large datasets, extracting meaningful insights, and supporting data-driven decision-making across the company. You will collaborate with various teams, including product, sales, and operations, to optimize our AI solutions and business strategies.
Key Responsibilities :
- Own the entire ELT pipeline to provide the company with the data they need.
- Design, develop and maintain dashboards for our company to be data-driven.
- Work closely with cross-functional teams to help them be more data-driven.
- Support the optimization of AI performance with data analytics.
- Document and present findings to stakeholders in a clear and concise manner.
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Engineer • Buenos Aires, Buenos Aires, AR
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