Analytics Engineer
At a glance
Mid-level Data Analysis & BI role at Darwin AI. Buenos Aires · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run the ELT pipeline so teams can access the data they need
- Create and maintain dashboards that help teams make decisions using data
- Work with product, sales and operations to improve their use of data
- Analyze data to help improve AI performance and share clear findings with stakeholders
What you bring
- Two to four years in data analytics, analytics engineering or data engineering
- Strong SQL skills for querying data and assembling datasets
- Production experience with Python, version control, an orchestrator and a transformation tool such as dbt
- You can explain complex data findings in clear, business-focused terms and read and write English
Who this fits
This semi-senior role suits someone who can own analytics engineering work while collaborating with product, sales and operations. You’ll meet in a Buenos Aires coworking office three days each month and work remotely the rest of the time.
From the employer
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.
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!
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