Analytics Analyst
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Analytics Analyst
payjoy· Financial Operations
About this role
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
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Design, build, and maintain scalable data pipelines (ETL/ELT) that ingest, clean, transform, and load data from multiple sources into the data warehouse/lake.
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Develop and maintain data models, schemas, and transformations (e.g., with dbt) that produce reliable, well-documented, analytics-ready datasets.
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Ensure data quality, integrity, and governance: implement validation, testing, monitoring, alerting, and documentation across the data platform.
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Optimize storage, query performance, and pipeline cost/efficiency, and troubleshoot failures with robust error handling and retries.
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Partner with data analysts, data scientists, and business stakeholders to understand their needs and deliver the datasets and infrastructure they require.
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Apply security and compliance best practices to data handling (access controls, encryption, PII protection), coordinating with Security/IT as needed.
Requeriments
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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).
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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.
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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.
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Skills: Strong analytical and problem-solving skills, attention to detail, ownership and reliability, clear communication, and collaboration across technical and business teams.
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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
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening
Frequently Asked Questions
Is the salary disclosed for the Analytics Analyst position at payjoy?
The salary for this Analytics Analyst role at payjoy is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Analytics Analyst position at payjoy located?
This Analytics Analyst role at payjoy is based in Bogotá, Bogotá D.C., Lima, Mexico City, CDMX, Panama City, Quito. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Analytics Analyst role at payjoy full-time or part-time?
This is listed as a Full Time position. It is posted as a Analytics Analyst role in the Financial Operations department at payjoy.
Which team or department does the Analytics Analyst at payjoy belong to?
This Analytics Analyst position is part of the Financial Operations department at payjoy. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Analytics Analyst position at payjoy?
Click the "Apply Now" button on this page. You will be redirected to payjoy's official application portal hosted on lever where you can submit your application directly.
When was the Analytics Analyst job at payjoy posted?
This Analytics Analyst position at payjoy was posted on Sep 8, 2026. Apply as soon as possible — early applications are often reviewed first.
Analytics Analyst
payjoy
You'll be redirected to payjoy's official application page on Lever.