Analytics Engineer II at Tala in Mexico City, Mexico City, MX

 

Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority.

 

Our pioneering work and proven impact have earned us consistent recognition, including being named to:

CNBC’s Disruptor 50 for five years.

CNBC’s World's Top Fintech Companies for two consecutive years.

Forbes’ Fintech 50 list for nine consecutive years.

Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.

 

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

 

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

As an Analytics Engineer II, you will build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to seek ways to improve our data infrastructure. You will provide self-service and training to the rest of the company to enable data analysts to explore insights using our data infrastructure. This will bring data accessibility to a new level.

Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.

Constantly seeking ways to improve our data infrastructure.

Provide self-service and training to the rest of the company and bring data accessibility to a new level.

3+ years working as an Analytics Engineer or Data Engineer

Excellent in SQL, ETL, and at least one language (ex. Python, Java) 

Experienced in cleaning, aggregating, and validating data sets for analytical consumption

Experienced with DBT or similar tools

Advanced English Level

Experienced with Snowflake management and functions (not just coding in Snowflake)

Experience with Airflow

Familiar with advanced modeling and machine learning techniques outside of school or Kaggle