Sales Regional Analyst

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

This role exists to give the Sales Operations function the capacity to execute projects across all of PayJoy's markets. The Sales Operations Analyst is the driving arm behind the team's regional projects, owning the metrics that measure how our sales force performs (rep productivity, target attainment, cost per sale, forecasting accuracy, and growth versus market penetration) and building the frameworks that surface performance issues early. By turning scattered CRM and sales data into a reliable, consistent view, and by managing cross-market initiatives, this role lets leaders make faster, better-informed decision

Responsibilities

• Drive Sales Operations projects across regions (MX, BR, EC, ZA, ID, PH), coordinating with local GTM, Data, Fraud, and Merchant Operations teams and unblocking initiatives to keep projects on track.
• Build and maintain the core sales performance metric set (rep productivity, target attainment, cost per sale, forecasting accuracy), so leaders have consistent, reliable numbers to manage the sales force from.
• Develop and maintain frameworks to assess rep performance and identify where support or intervention is needed.
• Analyze growth relative to market penetration across regions to identify opportunities.
• Support forecasting, target-setting, and planning exercises with clean data and analysis, so commercial plans are grounded in evidence.
  
  

Requirements

• Education: Bachelor's degree in business, economics, engineering, data, finance, or a related field.
• Analytical skills: strong use of spreadsheets and the ability to work with large, complex datasets to produce clean, decision-ready analysis.
• Ways of working: ownership mentality, bias for action, comfort with ambiguity, and the ability to manage multiple projects and stakeholders concurrently.
• Experience with CRM
• SQL and experience with analytics tools such as Snowflake, Hex, or BigQuery.
• Prior work with data and stakeholders across multiple countries or business entities.
  
  

Benefits

• 100% Company Funded : Private Health Insurance for employee and immediate family
• 20 days vacation
• Phone finance, Headphone, home office equipment and wellness perks.
• $2,000 USD annual Co-working Travel perk
• $2,000 USD annual Professional Development perk
• Catered Lunch
  
  

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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