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PayJoy
Actively Hiring
Finance for the next billion
  • B2C
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • +1

Data Analyst

  • Quito • 
    +3
  • |No experience required
  • |Full Time
Posted: 2 weeks ago• Recruiter recently active
Job Location
Quito • 
Lima • 
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
SQL
Git
Data Warehousing
Performance Optimization
ETL
Azure
Snowflake
Data Governance
Data Modeling
Data Quality
AWS
Big Query
Elt
Dimensional Modeling
Redshift
Airflow
GCP
DBT
Star Schemas
Batch Patterns
Streaming Patterns

About the job

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

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.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

About the company

PayJoy company logo

PayJoy

Actively Hiring
Finance for the next billion501-1000 Employees
  • B2C
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
Learn more about PayJoy image

Funding

AMOUNT RAISED
$42M
FUNDED OVER
3 rounds
Rounds
B
$20000000
Series B - May 2019+2

Perks

Healthcare
Health, dental, vision, life, and disability insurance all covered 100% at the basic level by the company
Retirement contribution
Generous paid time off
Gym and fitness stipend
Commuter benefits
Convenient location next to Caltrain station
Annual international trip for full-time employees
Pool table
Pool table for those moments when you need a break

Founders

Tom Ricket
Founder
San Mateo
image
Gib Lopez
Founder
image
Doug Ricket
Founder
San Francisco
image
View the team image