Data Analyst (Revenue Team)

CloudWalk; São Paulo; Presencial; BRL 323.000 - 432.000; Tempo integral

Resumo da oferta

A leading fintech company in São Paulo seeks a data analyst to enhance operational efficiency and streamline revenue processes. The ideal candidate will possess strong skills in SQL and Python, with the ability to turn complex data into actionable insights. Join us to be part of a dynamic team that values diversity and innovation in financial technology.

Qualificações

• Strong analytical foundation with SQL and Python proficiency.
• Ability to translate business questions into actionable insights.
• Skills to explain complex findings clearly to business stakeholders.

Responsabilidades

• Analyze operational efficiency and identify optimization opportunities.
• Build client prioritization systems using algorithms.
• Optimize idle balances and cash flow patterns for efficiency.
• Transform improvised solutions into systematic data processes.
• Produce actionable business intelligence impacting revenue operations.

Conhecimentos

SQL proficiency

Python proficiency

Business intelligence experience

Communication skills

Problem-solving mindset

Fluent in Portuguese and English

Ferramentas

Google Cloud Platform

Modern data stack tools

Descrição da oferta de emprego

At CloudWalk, we're building the best payment network on Earth (then other planets ). We're an AI-first fintech unicorn, and our Revenue team is the engine that optimizes how money flows through our ecosystem. We're ready to dive deep into operational analysis and unlock hidden opportunities.

We're looking for a data analyst who can bridge the gap between complex data and business operations. You'll be the detective who asks "why do our processes work this way?" and "where are the optimization opportunities hiding?" And then actually finds the answers.

The Revenue Team

• We optimize money flowacross CloudWalk's ecosystem, ensuring every real flows efficiently
• We work with real business problems– client prioritization, automated applications, and balance optimization
• We move from improvisation to intelligence– replacing "bamboo-and-wire" solutions with data-driven approaches

What You'll Do

• Analyze operational efficiency– investigate why processes work the way they do and identify optimization opportunities
• Build client prioritization systems– create algorithms to rank clients for automated applications and operational decisions
• Optimize idle balancesand cash flow patterns to maximize financial efficiency
• Transform improvised solutionsinto systematic, data-driven processes that scale
• Produce actionable business intelligencethat directly impacts revenue operations

What You'll Need

• Strong analytical foundationwith SQL and Python proficiency for data extraction and analysis
• Business intelligence experiencetranslating business questions into actionable insights
• Communication skillsto explain complex findings clearly to business stakeholders
• Business acumento understand revenue operations and financial processes quickly
• Problem-solving mindsetwith curiosity for "why" questions and persistence to find answers
• Ability to communicate and debate in Portuguese and English

Bonus Points

• Familiarity with payment systems or fintech operations
• Experience with financial operationsin fintech or financial services
• Experience with client segmentationand prioritization algorithms
• Knowledge of cash flow optimizationand balance management strategies
• Experience with Google Cloud Platformand modern data stack tools
• Familiarity with payment systemsor fintech operations

Recruiting process outline:

• Online assessment:An online test to evaluate your analytical skills and statistical reasoning
• Technical interview
• Cultural interview

If you are not willing to take an online quiz and work on a test case, do not apply.

Diversity and inclusion:

We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.