Analytics Engineer

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
  
  

• 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
  
  

• 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!