Analista de Dados Pleno

Monee; São Paulo; Híbrido; BRL 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental assistance

Gympass and TotalPass

Meal/food allowance

Transportation voucher

Mobility allowance

On-site parking

Flexible benefits program

Zenklub access

Discretionary annual bonus

Resumo da oferta

Monee is seeking an Associate Data Analyst to drive data strategy and analytics across its Payments ecosystem in Brazil. You will design experiments, build predictive models, and create automated data pipelines to support product optimization and regulatory compliance.

Work in a hybrid environment with collaboration across product, FinOps, and leadership to deliver scalable data products and insightful dashboards.

Qualificações

• Bachelor's degree in a quantitative field.
• Advanced knowledge of SQL and Python.
• Advanced English.
• Relevant experience working in data-related fields.

Responsabilidades

• Design, execute, and analyze A/B tests for wallet features and checkout optimizations.
• Monitor data health and performance metrics during progressive feature rollouts with PMs.
• Conduct deep-dive analyses on payment fees, interchange costs and take-rates.
• Develop and maintain forecasting models to predict transactions and costs.
• Transform financial, regulatory, and business requirements into scalable data products and dashboards.
• Automate data pipelines using Python, PySpark, and SQL to reduce manual tasks.
• Coordinate data analysts involved in compliance and risk-related projects.
• Aim to transform manual workflows into automated, scalable analytics workflows.

Conhecimentos

SQL

Python

Advanced English

Data analysis

Formação académica

Bachelor's degree in a quantitative field

Descrição da oferta de emprego

About Monee

At Monee, we believe that every member of our team plays a vital role in our success, and that diverse perspectives and experiences are essential to driving our business forward and advancing our purpose of making the world a better place.

About The Team

About Monee

At Monee, we believe that every member of our team plays a vital role in our success, and that diverse perspectives and experiences are essential to driving our business forward and advancing our purpose of making the world a better place.

Joining our team means having the opportunity to grow in a fast-paced, agile environment. If you're passionate about taking on big responsibilities and building things that have never been done before, Monee is the place for you.

Here, you'll tackle exciting challenges, collaborate with a diverse and talented team, and help shape the future of e-commerce in Brazil while creating a positive impact on the lives of millions of people.

Work Model

We have adopted a hybrid work model, which allows people to adjust their work environment according to their personal needs, while also promoting collaboration and interaction in the office.

Job Description

Your Mission

This position is responsible for driving data strategy, product optimization, and advanced analytics across Shopee’s Payments, Wallet, and Financial Operations (FinOps) ecosystem. The role sits at the intersection of data science, product performance, and financial efficiency, transforming complex transactional data into scalable data products and automated frameworks. The Associate Data Analyst will design experiment frameworks, monitor feature rollouts, build predictive forecasting models, and perform deepdive fee analytics. Additionally, the role supports leadership decisions by optimizing payment workflows, tracking FinOps KPIs, and ensuring seamless compliance with financial and regulatory frameworks.

What Your Day-to-Day Will Look Like

• Product Experimentation & A/B Testing
  • Design, execute, and analyze A/B tests for digital wallet features and checkout optimizations.
  • Define sample sizes, establish statistical significance, and deliver recommendations to maximize product conversion.
• Feature Rollout Support
  • Partner with Product Managers to monitor data health and performance metrics during progressive feature rollouts.
  • Proactively flag anomalies or negative impacts on payment success rates.
• Fees & Take-Rate Analytics
  • Conduct deep-dive analyses on payment processing fees, interchange costs, and user-facing take-rates.
  • Identify cost‑saving opportunities and leakage across financial settlement pipelines.
• Predictive Forecasting Models
  • Develop and maintain statistical forecasting models to predict transaction volumes, wallet balances, user churn, and processing costs.
  • Help FinOps and business leadership plan capacity and budgets.
• Scalable Data Products
  • Interpret and transform complex financial, regulatory, and business demands into scalable, structured data products, automated reporting ecosystems, and clean data architectures.
• Performance Dashboards
  • Design and implement intuitive data visualization solutions and automated dashboards.
  • Empower Product Managers, FinOps leads, and senior leadership with clear insights for strategic decision‑making.
• Process Automation
  • Proactively identify inefficiencies in payments, compliance, and financial workflows.
  • Design and deploy automated data pipelines using Python, PySpark, and SQL to eliminate repetitive manual tasks.
  • Proactively identify inefficiencies in Risk & Compliance workflows and lead automation initiatives to optimize these processes across the teams.
• Data Analyst Coordination
  • Oversee coordination and technical support for data analysts involved in compliance and risk‑related data projects.
  • Ensure quality and consistency of outputs.
• Expected Results
  • Transform manual workflows into automated, scalable data products.
  • Drive operational efficiency while ensuring absolute financial and regulatory data precision.

Requirements

What You Need to Take on This Challenge

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, Finance, or a related discipline.
• Advanced knowledge of programming languages and data analytics tools as SQL and Python
• Advanced English
• Relevant experience working in data‑related fields

Benefits

• Medical and dental assistance, extended to dependents;
• Partner with Gympass and TotalPass;
• Flexible meal/food allowance;
• Transportation voucher, mobility allowance, or on-site parking;
• Flexible benefits program;
• Access to Zenklub;
• Discretionary annual bonus tied to performance.

COME MAKE HISTORY WITH US.

WHAT MAKES YOU UNIQUE, MAKES US BETTER!

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