Where is the Data Analyst role at Payjoy located?

The Data Analyst position at Payjoy is based in Quito. This is an on-site position.

What type of employment is the Data Analyst role at Payjoy?

The Data Analyst position at Payjoy is a Full time role.

What experience is required for the Data Analyst role at Payjoy?

The Data Analyst position at Payjoy requires 2+ yrs exp.

What skills are required for the Data Analyst role at Payjoy?

Key skills for the Data Analyst position at Payjoy include: machine learning, sql, python, snowflake, bigquery.

Data Analyst — Payjoy

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

We're looking for a Data Analyst who combines data analysis, CRM administration, and process automation skills. The ideal candidate enjoys turning scattered data into actionable insights and automating manual workflows using low-code. This person will work closely with the commercial, operations and fraud teams as well as cross-functional stakeholders.

Key responsibilities

Partner with the commercial team to understand reporting needs and translate them into dashboards, KPIs, and actionable insights ( SQL, Python).

Act as a key point of contact for cross-functional stakeholders (sales, operations, finance) requesting data analysis or process automation support.

Manage and optimize the CRM (Zoho CRM): modules, custom fields, workflows, assignment rules, and data quality.

Clean, validate, and normalize data (names, phone numbers, emails, geolocation) to ensure data quality across merchant/customer databases.

Present findings and recommendations to commercial leadership and other stakeholders in a clear, actionable format.

Perform other duties and responsibilities as assigned by the department, based on evolving business needs.

Requirements

Bachelor's degree in Business Administration, Industrial Engineering, Data Science, Economics, or a related field.

2+ years of experience in data analysis, business operations, or CRM-related roles.

Intermediate-to-advanced SQL skills (Snowflake, BigQuery, or similar preferred).

Experience administering a CRM (Zoho CRM, HubSpot, Salesforce, or other).

Advanced Google Sheets/Excel skills (formulas, pivot tables, data validation).

Strong analytical and problem-solving skills, with the ability to work with ambiguous or incomplete data.

Excellent communication skills, with the ability to translate technical concepts for non-technical, commercial-facing stakeholders.

Ability to manage multiple priorities and collaborate effectively across departments.

Nice to have: basic Python, BI tools (Hex, Looker, Power BI) or exposure to fintech/retail environments with field sales operations.

Benefits

100% Company-funded health insurance for employees and immediate family members

Life insurance

Dental plan

Phone finance, Headphone, home office equipment and wellness perks.

Individual retirement plan 3%

20 days of vacations

$2,000 USD annual Co-working Travel perk

$2,000 USD annual Professional Development perk

Catered lunches

Data Analyst

Job description