Senior Credit Data Analyst | Monee

Your Mission

At Monee, data is more than numbersâ€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 Moneeâ€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.

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! ðŸ¡