Analytics Engineer
LocationSantiago, Santiago Metropolitan Region, Chile
Work modehybrid
Typefull-time
SeniorityMid
Experience2–4 yrs
Company size201–500 people
PostedMar 20, 2025 · 1y ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
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
Skills
SQL
Python
Airflow
Dagster
dbt
Benefits
Language classes
Openai premium license
Unlimited PTO
Hybrid work
Remote stipend
About the company
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.
About the role
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.
Responsibilities
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!