Data Analyst (Finance)

TL;DR

Data Analyst (Finance): Analyzing complex financial datasets and building automated reporting solutions for liquidity, risk, and P&L with an accent on SQL and Python-driven ETL processes. Focus on optimizing financial performance models and uncovering actionable insights to guide product and business strategy.

Location: Hybrid in Mexico City or Sao Paulo, or remote from Brazil or Mexico.

Company

A global financial super app helping millions of customers manage, save, and invest their money.

What you will do

• Develop and maintain efficient ETL processes and aggregated data tables.
• Automate daily risk reporting and performance tracking for liquidity and investments.
• Conduct behavioral liquidity and cash flow analyses to uncover business insights.
• Collaborate with product teams to design and implement custom data-driven solutions.
• Lead model-based performance optimization efforts to support financial decision-making.

Requirements

• Experience in analytical roles within markets-based businesses, financial institutions, or asset management.
• Bachelor's degree in a quantitative discipline.
• Advanced proficiency in Python and SQL for complex data manipulation.
• Solid foundation in mathematics and statistics.
• English language proficiency is required.

Nice to have

• Advanced degree in a STEM field.
• Previous participation in competitive university Olympiads in physics, mathematics, economics, or programming.

Culture & Benefits

• Focus on inclusion and diversity through a dedicated D&I framework.
• Opportunities to solve complex global problems in a fast-paced fintech environment.
• Exposure to large-scale data systems and high-growth financial products.
• Supportive multicultural team culture.