The Senior Business Analyst acts as a representative of the institutional strategy, with access to proprietary methodologies and profitability models. They are responsible for supervising the consistency of business rules and acting as a technical filter that ensures the confidentiality of strategic information against third parties and operational areas.

They work autonomously with cross-functional teams and serve as an analytical reference for Product, Finance, Operations, and Data Science, ensuring that decisions are well-founded and aligned with company objectives.

Desired Knowledge:

• Advanced mastery of SQL for extraction, modeling, and analysis of large data volumes using Excel/Sheets and Python.

• Solid experience with data visualization tools (Amazon QuickSight, Tableau, Power BI).

• Strong understanding of experimental design, A/B testing, and applied statistics.

• Practical knowledge of forecasting and sensitivity analysis.

• Ability to structure complex business problems and translate them into clear, actionable insights.

• Knowledge of data modeling and data quality best practices.

• (Desirable) Knowledge in Collections

Experience:

• 2 to 3 years of experience in business analysis, analytics, or business intelligence roles (experience in digital banks, credit, consulting, or banking is highly valued).

• Ability to work independently, prioritizing initiatives with the highest business impact.

• Experience in fast-growing environments, high ambiguity, and multi-team settings.

• Experience in stakeholder management and advanced communication in English.

Responsibilities:

• Analyze large volumes of data to discover patterns in customer behavior and business performance using tools like SQL and Amazon QuickSight.

• Design and execute A/B tests and statistical models to evaluate strategic and product initiatives.

• Develop forecasting and sensitivity analysis to support strategic planning.

• Build dashboards and clear data narratives for technical and executive audiences.

• Collaborate closely with Product, Finance, Operations, and Data Science to drive data-driven decisions.

• Mentor and guide more junior analysts.

Information Access:

• Handle internal information and participate in the verification of key processes, directly contributing to Stori's competitiveness.

• Perform deep diagnostics on inbound flows and customer identifier behavior (user ID, full name, Credit Bureau, third-party financial info, device data, Stori product usage; financial info such as transactions, balance, debt status, applied interest rates, rewards generated, etc.) to design strategies that optimize the conversion funnel and maximize user onboarding efficiency.

• Use transactional data to understand consumption patterns by segment and generate strategic findings, using deep data analysis to guide the design of tactics that maximize profitability.

• Access to profitability models by segment, operational cost structures, and growth projections that constitute the organization's industrial secrets.

• Direct supervision of the institutional measurement architecture, ensuring the integrity of data that impacts strategic planning and investor relations.

• Sensitive customer information and transactional flows used for designing retention tactics and risk prevention.