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Senior Open Finance Analyst - Business Intelligence & Planning, Monee

Fresher
  • Posted 5 hours ago
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Job Description

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.

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™

N-A60

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About Company

Job ID: 153935713

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