Senior Open Finance Analyst - Business Intelligence & Planning, Monee Experienced (Individual Contributor) São Paulo Business Intelligence and Data Analytics

Monee

São Paulo

Presencial

BRL 180.000 - 240.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Medical & dental
Gympass/TotalPass
Transport allowance
Flexible benefits
Zenklub access
Discretionary bonus

Descripción de la vacante

Monee is a leading digital payments and financial services provider seeking a Senior Open Finance Analyst to design, build, and deliver high-impact data projects for Brazil business. You will work in a dynamic, hybrid environment with Open Finance data, dashboards, and data models.

Responsibilities include partnering with product, operations and marketing to define data requirements, analyzing consumer financial data, and supporting risk and fraud teams. English proficiency is essential.

Formación

  • Bachelor's or Master's in computer science, statistics, engineering, mathematics or related fields.
  • Relevant years of experience in data analysis, preferably fintech/banking/financial services.
  • Strong understanding of Open Finance/Open Banking frameworks, APIs, and data-sharing standards.
  • Experience with data visualization tools (Power BI, Tableau, Looker).
  • Experience in ETL/ELT, pipelines, big data (Hive, Spark), data warehousing.
  • Advanced English is mandatory.
  • Strong communication skills to translate technical findings for non-technical audiences.
  • Data-driven with good analytical skills.
  • Knowledge in ML (data modeling, clustering, features selection) is a plus.
  • Experience with SQL or PySpark; Python or R is a plus.

Responsabilidades

  • Analyze consumer-permissioned financial data via Open Finance APIs.
  • Design and maintain dashboards, reports, and data models to track Open Finance KPIs.
  • Build data solutions automation and pipelines; design workflows.
  • Partner with product, ops, marketing to define data requirements.
  • Conduct exploratory data analysis to identify trends and opportunities.
  • Support risk, credit, and fraud teams with data insights.
  • Present findings to senior stakeholders and leadership.
  • Mentor junior analysts and share best practices.
  • Collaborate with teams across regions, including Singapore.

Conocimientos

SQL
Python
R
Data analysis
Open Finance APIs
English communication
Data-driven
ML basics

Educación

Bachelor's or Master's in CS/Stats/Engineering/Math

Herramientas

Power BI
Tableau
Looker
Hive
Spark
Data warehousing

Descripción del empleo

Senior Open Finance Analyst - Business Intelligence & Planning, Monee
Experienced (Individual Contributor)

Department Business Intelligence and Data Analytics

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

About the team:

About Monee

At Monee, we believe that every member of our team plays a key 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.

Being part of our team is an opportunity to grow within a fast-paced and agile culture. If you enjoy taking on great responsibilities and doing what has never been done before, Monee is the place for you.

Here, you will take on exciting challenges, collaborate with a diverse team, and contribute to shaping the future of e-commerce in Brazil, 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

Our team is responsible for structuring, building and delivering high impact data projects for Monee business in Brazil. We work in a dynamic environment, with many opportunities for relevant deliveries to grow our products.


What Your Day-to-Day Will Look Like

  • Analyze consumer-permissioned financial data (accounts, transactions, credit, investments) sourced via Open Finance APIs.
  • Design and maintain dashboards, reports, and data models to track KPIs related to Open Finance adoption and performance.
  • Build data solutions automation and optimization, design pipelines and workflows.
  • Partner with product, ops, marketing and other key areas to define data requirements for new Open Finance use cases.
  • Conduct exploratory data analysis to identify trends in consumer financial behavior and product opportunities.
  • Support risk, credit, and fraud teams with data insights derived from Open Finance sources.
  • Present findings and recommendations to senior stakeholders and leadership
  • Mentor junior analysts and contribute to best practices.
  • 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 related fields.
  • Relevant years of experience in data analysis, preferably within fintech, banking, or financial services.
  • Strong understanding of Open Finance/Open Banking frameworks, APIs, and data-sharing standards.
  • Experience with data visualization tools, e.g. Power BI, Tableau, Looker.
  • Experience in ETL/ELT process, pipeline creation on workflows, big data ecosystem (Hive, Spark), data warehousing, data preparation.
  • Advanced English is mandatory.
  • Strong communication skills and ability to translate technical findings for non-technical audiences
  • Data-driven, good analytical skills.
  • Knowledge on machine learning skills such as data modeling, clustering, features selection, is a plus.
  • Experience with SQL or Pyspark languages. Knowledge in Python or R is a plus.
  • Medical and dental assistance, extended to dependents;
  • Partnership with Gympass and TotalPass;
  • Transportation voucher, mobility allowance, or on-site parking;
  • Flexible benefits program;
  • Access to Zenklub;
  • Discretionary annual bonus tied to performance.
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