Data Analyst
PayJoyConsumer Lending company
Bogotá, ColombiaMid
Citi Ventures
Greylock
Aidenlair Capital
Ascend Vietnam Ventures
Claridge Venture Partners
Invus Opportunities
Data & AINew
About the role
TL;DR
Builds and maintains data infrastructure, pipelines, and models for reliable data access.
- •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.
- •Responsibilities Design, build, and maintain scalable data pipelines (ETL/ELT) that ingest, clean, transform, and load data from multiple sources into the data warehouse/lake.
- •Develop and maintain data models, schemas, and transformations (e.g., with dbt) that produce reliable, well-documented, analytics-ready datasets.
- •Ensure data quality, integrity, and governance: implement validation, testing, monitoring, alerting, and documentation across the data platform.
- •Optimize storage, query performance, and pipeline cost/efficiency, and troubleshoot failures with robust error handling and retries.
- •Partner with data analysts, data scientists, and business stakeholders to understand their needs and deliver the datasets and infrastructure they require.
- •Apply security and compliance best practices to data handling (access controls, encryption, PII protection), coordinating with Security/IT as needed.
- •Requeriments Software / tools: Strong SQL and proficiency in Python for data engineering; hands-on experience with ETL/ELT and orchestration tools (e.g., Airflow, dbt), cloud data warehouses (BigQuery, Snowflake, or Redshift), and a major cloud (GCP/AWS/Azure).
- •Version control (Git).
- •Specific knowledge: Data modeling and warehousing (dimensional modeling, star schemas), batch and streaming patterns, data quality and governance, and performance optimization.
- •Experience in fintech or high-volume transactional environments is valued.
- •Expected results: Reliable, well-documented, high-quality data pipelines and datasets with strong uptime; timely, accurate data available to downstream teams; and efficient, cost-effective data infrastructure.
- •Skills: Strong analytical and problem-solving skills, attention to detail, ownership and reliability, clear communication, and collaboration across technical and business teams.
- •Desirable (not essential): Experience with streaming (Kafka / Pub/Sub), infrastructure-as-code, data catalog/observability tools, and system integrations; intermediate/advanced English (Portuguese a plus); and prior experience in a similar Data Engineer role.
- •Benefits 100% Company-funded Health for employees and immediate family members Life Insurance Indefinite-term contract 20 days of vacations, unlimited sick leave $2,000 USD annual Co-working Travel perk $2,000 USD annual Professional Development perk Phone finance, headphone benefit, home office equipment allowance and wellness perks Catered lunches
Required skills
SQLPythondbtAirflowBigQuerySnowflakeRedshiftGoogle CloudAWSAzureGit
Nice-to-have skills
Terraform
Domain expertise
fintech
Benefits & perks
100% Company-funded Health for employees and immediate family members, Life Insurance, Indefinite-term contract, 20 days of vacations, unlimited sick leave, $2,000 USD annual Co-working Travel perk, $2,000 USD annual Professional Development perk, Phone finance, headphone benefit, home office equipment allowance and wellness perks, Catered lunches
Tech stack
SQLPythonAirflowdbtBigQuerySnowflakeRedshiftGoogle CloudAWSAzureGit