Support the definition of objectives, hypotheses and growth priorities.
Analyze performance, conversion, retention and revenue data.
Work collaboratively with product, data, design and engineering teams.
Ability to translate ambiguous business questions into focused, objective analytical scopes.
Hypothesis-driven thinking: formulate strong questions and propose experiments to test them.
Autonomy to prioritize your own agenda and coordinate deliveries with multiple stakeholders.
Continuously monitor channel performance, tracking metrics such as delivery, engagement, conversion and retention, anticipating deviations before they become problems.
Structure and conduct in-depth analyses of user journeys, campaigns and funnels, translating insights into clear, actionable recommendations.
Design and run A/B experiments in partnership with the product team, defining hypotheses, primary metrics, MDE and performing statistical analysis of the results.
Act as an analytical partner to Product Managers, contributing to roadmap development and prioritization of initiatives based on impact.
Communicate insights and recommendations to stakeholders at different levels, from the squad to leadership, adapting language and depth to the audience.
Ensure data quality, reliability and governance, guaranteeing consistency in analyses that support decision-making.

Solid experience in data analysis, acting as a strategic partner to product or business areas;
Proficiency in SQL for manipulation, extraction and analysis of large volumes of data;
Advanced Excel skills (analysis, modeling and data organization);
Experience building exploratory analyses and generating insights, with the ability to translate data into actionable recommendations;
Experience with experimentation (A/B testing), including definition of hypotheses, metrics, MDE and statistical interpretation of results;
Familiarity with product and funnel metrics (e.g., conversion, engagement, retention, churn);
Advanced analytical capability, with critical thinking and orientation to solving complex problems;
Clear and structured communication skills, with experience delivering executive-level presentations to different stakeholder levels;
Product vision, working closely with Product Managers on data-driven roadmap prioritization;
Ability to operate in dynamic environments, with autonomy and management of multiple concurrent demands;
Bachelor's degree completed.

Meal voucher (Vale-Refeição)
Transportation voucher (Vale-Transporte)
Food allowance (Vale-Alimentação)
Childcare allowance
Medical assistance (health plan)
Dental assistance (dental plan)
Life insurance
Private pension plan
Partnership with Gympass and Totalpass
Partnership with Univers (Drogasil and Droga Raia)
Access to visits, reservations and accommodation at Itaú Unibanco Club (Guarapiranga, Itanhaém and São Sebastião)
Discounts and benefits at partner stores and service providers across Brazil and Latin America
"Fique OK" employee support program
Corporate University
Discounts on financial products and services

Digital Product Analyst – Senior

Key skills