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Analytics Engineer
hace 1 semana
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.
Requirements
- 2-4 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.
Benefits
● 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
