Nubank Staff Business Analyst at Nubank responsible for leading deep-dive analyses and synthesizing data into executive recommendations. Own core metrics, design experiments, and build financial and strategic models.
Responsibilities
Solve Ambiguous Problems: Lead deep-dive analyses on complex business questions, synthesizing unstructured data into clear, executive-ready recommendations.
Analyze Market & Onchain Trends: Evaluate blockchain transactions, liquidity, token activity, and market shifts to uncover consumer behavior insights.
Drive Experimentation & Causal Analysis: Design, run, and evaluate A/B tests with high statistical rigor—setting clear hypotheses, sample sizes, conversion goals, and risk guardrails.
Own Core Metrics & Dashboards: Serve as the single point of ownership for key metrics and maintain executive dashboards.
Build Financial & Strategic Models: Create quantitative models, scenario analyses, and market sizing to evaluate new product features and international growth.
Develop Clean Data Pipelines: Write efficient SQL and Python code to extract, transform, and structure complex datasets, establishing reliable ETL workflows.
Leverage AI & Modern Tooling: Responsibly integrate AI copilots and automated workflows into daily analytics to increase speed and decision quality.
Align Cross-Functional Partners: Collaborate with Product, Engineering, Legal, and Compliance to assess the commercial and operational impact of regulatory updates and business strategy.
Analytical Capacity & Rigor: Strong foundation in quantitative analysis, probability, statistical modeling, and financial mechanics applied to complex business problems.
Digital Assets Knowledge: Solid understanding of bitcoin, ethereum, blockchain protocols, crypto market dynamics, stablecoins, staking mechanics, and global exchange ecosystems.
