Lead Business Analyst

Nubank•Miami, FL

6d•Hybrid

About The Position

Nu serves more than 140 million customers and aims to fight complexity and empower people. Its digital platform uses proprietary technology and data at scale to promote financial access, advancement, and transparency. The Lead Business Analyst will lead analysis of complex, ambiguous business questions and turn unstructured data into executive-ready recommendations. The role analyzes blockchain transactions, liquidity, token activity, and market shifts to uncover consumer behavior insights, and leads cross-functional initiatives involving Engineering, Product, Controllership, and Business Control Officers. Responsibilities also include owning core metrics and executive dashboards, strengthening KRIs and controls, building financial and strategic models, developing data pipelines, responsibly integrating AI into analytics workflows, and assessing the commercial and operational impact of regulatory updates and business strategy. The position follows a hybrid work model, with employees working in the office at least twice a week on strategic days intended to support team connection and collaboration. Nu’s recruitment process may use AI-enabled tools for interview transcription and analysis, but humans make all final hiring decisions.

Requirements

Strong foundation in quantitative analysis, probability, statistical modeling, and financial mechanics applied to complex business problems.
Hands-on experience designing controlled A/B tests, measuring statistical significance, and establishing guardrail metrics.
Advanced SQL and Python skills for data extraction, manipulation, and pipeline development.
Experience working alongside product managers and engineers in an iterative, fast-paced product development environment.
Proven ability to translate complex quantitative findings into concise, compelling data stories that influence stakeholders.

Responsibilities

Lead deep-dive analyses of complex business questions and synthesize unstructured data into executive-ready recommendations.
Evaluate blockchain transactions, liquidity, token activity, and market shifts to uncover consumer behavior insights.
Lead two to three initiatives with ambiguous objectives and scope in collaboration with Engineering, Product, Controllership, and Business Control Officers.
Improve KRIs and controls, including thresholds, signal logic, data quality, and service interactions; connect these to impact and escalate findings to leadership.
Own key metrics and maintain executive dashboards.
Develop shared AI prompts, skills, automated routines, or bots to improve speed while maintaining accuracy and critical judgment.
Create quantitative models, scenario analyses, and market sizing to evaluate product features and international growth.
Write SQL and Python code to extract, transform, and structure complex datasets, and establish reliable ETL workflows.
Integrate AI copilots and automated workflows responsibly into daily analytics to improve speed and decision quality.
Collaborate with Product, Engineering, Legal, and Compliance to assess the commercial and operational impact of regulatory updates and business strategy.