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PayJoy

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Data & Analytics

Data Marketing Analyst

  • Sao Paulo
  • Pleno
  • On-site
  • Full time
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Location

Sao Paulo

Setup

On-site

Posted

today

O que você vai fazer

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 plays a key part in the creation, monitoring, and maintenance of our performance marketing capability. The Marketing Data Analyst will be responsible for ensuring accurate adoption, execution and reporting of the strategy across marketing funnels, platforms, and countries of operation, ensuring that we analyse, optimize and make data-driven decisions.

Responsibilities

  • Deliver weekly, monthly and adhoc analysis of performance, reviewing campaigns, funnels and platforms across channels, products and countries of operations

  • Propose and execute new deep dive analyses to provide optimizations across multiple marketing platforms, with a focus on Meta, Google, and TikTok, across all PayJoy markets.

  • Conduct regular audits of our attribution model to identify and resolve data quality issues, ensuring proper data flow from source systems through to reporting tools.

  • Work with our data and tech teams to identify opportunities to refine the current model to better capture sources of traffic and sales.

  • Create and maintain new performance reports with cohorted analysis.

  • Troubleshoot tracking discrepancies and data anomalies, working with technical teams (both within the company and outside agencies) to implement fixes and prevent future issues.

  • Monitor and stay current on platform updates, privacy regulations, and industry best practices that may impact optimization and testing capabilities

Qualifications

  • 2-4 years of experience in performance marketing, marketing analytics, or digital analytics with a focus on optimization and strategy.

  • Strong technical efficiency with analytics platforms (e.g., Google Analytics or similar) and visualization tools (Like Tableau, power BI or similar. Hex would be a plus).

  • Experience implementing new reports and dashboards with focus on diagnoses and action plans from data models.

  • Strong analytical and problem-solving skills with a very high attention to detail.

Benefits

  • Local benefits depending on the country of hire

  • Company-funded health insurance for employee and immediate family

  • Company-funded employee life and disability insurance

  • Paid vacation days, 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

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

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Interested in this role?

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About Data & Analytics roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

SQLPython/RDashboard building (Looker, Tableau)Statistical analysisMarketing attribution
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