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Analytics Engineer

The Data Analyst will design and maintain data infrastructure to ensure reliable data for analytics and reporting.

Location
Bogotá, Bogotá D.C.
Compensation
Not disclosed
Level
Not specified
Type
full time

Posted by employer 3 days ago

First seen on Joblaze 3 days ago

Last verified on the company career page 1 day ago

Apply at PayJoy → Save job Scanned from payjoy.com

Skills & Technologies

AI in the day-to-day

We use cutting-edge machine learning, data science, and anti-fraud AI.

Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.

Joblaze summary

The Data Analyst at PayJoy plays a crucial role in developing and maintaining the data infrastructure that supports the company's mission to provide credit to underserved markets. This position requires expertise in data modeling and pipeline construction, ensuring that data is accurate and accessible for analytics and reporting. Ideal candidates will have a strong background in data management and a passion for leveraging data to drive business decisions. PayJoy's focus on innovative technology and social impact makes this role particularly suited for those looking to contribute to meaningful change.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Data Engineering.
Is this full-time or contract?
Full-time for this Analytics Engineer role at PayJoy.

From the original posting

About PayJoy   PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success.  Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system.  Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life.  PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.   This role The Data Analyst is responsible for designing, building, and maintaining the data infrastructure, pipelines, and models that make clean, reliable data available across PayJoy. This role transforms raw data from multiple sources into well-structured, trustworthy datasets in the data warehouse/lake, enabling analytics, reporting, and data-driven products. As the foundation of the data stack, the Data Engineer ensures data is accurate, timely, scalable, and well-governed so analysts, data scientists, and business teams can rely on it to make informed decisions.

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