Senior Credit Data Analyst | Monee

Shopee; São Paulo; Híbrido; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental assistance

Gympass and TotalPass

Meal allowance

Transportation voucher

Flexible benefits program

Zenklub access

Discretionary annual bonus

Resumo da oferta

Monee in Brazil is seeking a data professional to shape the future of credit data by turning complex information into intelligent decisions that empower customers and support sustainable growth. You will work on end-to-end data initiatives in a fast-paced environment with ownership and collaboration at the core.

Join a global team with a hybrid work model to build smarter products and expand financial inclusion for millions of users.

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
• Hands-on experience with SQL or PySpark.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Experience designing and maintaining ETL/ELT processes, data pipelines, and data workflows within big data ecosystems (e.g., Hive, Spark), including data warehousing and data preparation.
• Strong analytical and data-driven problem-solving skills.
• Excellent verbal and written communication skills.
• Advanced English proficiency.

Responsabilidades

• Conduct in-depth data analysis, identify business issues and opportunities, formulate hypotheses, give answers and conclusions regarding CDB, credit and insurance products and users.
• Deep dive on credit assessment to support risk team modeling.
• Give visibility of key credit products metrics with dashboards and reports.
• Build data solutions automation and optimization, design pipelines and workflows.
• Help collections team on credit recovery strategies.
• A/B test on collections and credit projects.
• Present insights to stakeholders and top managements.
• Help to deliver strategic and tactical initiatives to drive business growth and cost reduction.
• Interact with teams from different areas and countries. Work closely with the Singapore Monee team.

Conhecimentos

SQL

PySpark

Analytical thinking

Communication skills

Advanced English

Formação académica

Bachelor’s or Master’s in CS/Statistics/Engineering/Mathematics

Ferramentas

Power BI

Tableau

Looker

Hive

Spark

ETL/ELT pipelines

Descrição da oferta de emprego

About Monee:

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

About The Team

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

Joining our team means becoming part of a fast-paced, agile culture where you'll have the opportunity to grow, take on meaningful responsibilities, and help build solutions that have never been done before.

If you're passionate about embracing big challenges, collaborating with a diverse team, and shaping the future of e-commerce in Brazil, Monee is the place for you. Here, you'll make 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

At Monee, data is more than numbers—it is the foundation for creating opportunities and transforming how millions of people access financial services. As part of our Credit Data team, you'll help shape the future of credit in Brazil by turning complex data into intelligent decisions that empower customers, strengthen businesses, and drive sustainable growth. You'll work on high-impact, end-to-end data initiatives in a fast-paced environment where innovation, collaboration, and ownership are part of our everyday culture. Every project you deliver will contribute to building smarter products, expanding financial inclusion, and creating meaningful experiences for millions of users. If you're excited by solving complex challenges, influencing strategic decisions, and being part of a team that is redefining the future of digital finance, you'll find more than a job at Monee—you'll find the opportunity to make a lasting impact.

What Your Day-to-Day Will Look Like

• Conduct in-depth data analysis, identify business issues and opportunities, formulate. hypothesis, give answers and conclusions regarding CDB, credit and insurance products and users.
• Deep dive on credit assessment to support risk team modeling.
• Give visibility of key credit products metrics with dashboards and reports.
• Build data solutions automation and optimization, design pipelines and workflows.
• Help collections team on credit recovery strategies.
• A/B test on collections and credit projects.
• Present insights to stakeholders and top managements.
• Help to deliver strategic and tactical initiatives to drive business growth and cost reduction.
• Interact with teams from different areas and countries. Work closely with the Singapore Monee team.

Requirements

What You Need to Take on This Challenge

• Bachelor's or Master's degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
• Hands-on experience with SQL or PySpark.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Experience designing and maintaining ETL/ELT processes, data pipelines, and data workflows within big data ecosystems (e.g., Hive, Spark), including data warehousing and data preparation.
• Strong analytical and data-driven problem-solving skills.
• Excellent verbal and written communication skills.
• Advanced English proficiency.

Nice To Have

• Experience with credit analysis.
• Proficiency in Python or R.
• Experience automating processes through SFTP or APIs.
• Knowledge of machine learning techniques, such as data modeling, clustering, and feature selection, preferably applied to credit risk or lending.
• Experience in the e-commerce or financial services/credit industry.

Benefits

• Medical and dental assistance, extended to dependents;
• Partnership 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!