Description: What we expect from you: Business acumen: Knowledge of metrics and operations for digital products. Analytical skills: Proficiency in SQL, statistical analysis, and data visualization tools (e.g., Superset, Power BI, or similar). Autonomy with accountability: Ability to independently drive end-to-end analyses, with a strong sense of priority and quality. Collaborative routine: Actively participate in area rituals, strategic forums, and data team ceremonies. Standardization and best practices: Adhere to standards defined by the engineering and data teams regarding documentation, versioning, and governance. Data science knowledge: You don’t need to be a data scientist, but it’s essential to communicate and collaborate effectively with technical teams. Nice-to-have qualifications: * Experience in fintechs, consulting firms, or startups * Broad, data-driven perspective, while consistently anticipating potential scenario evolutions Your day-to-day responsibilities: * Data-driven decision-making: Support leaders with descriptive, diagnostic, predictive, and prescriptive analyses. Formulate and test hypotheses to deepen product understanding. * Data ownership for the area: Serve as the single point of accountability for all data-related matters within your business domain—from source to delivery. * Visibility and monitoring: Develop dashboards, reports, and KPIs enabling fast, well-informed decisions. * Quality and governance: Act as the bridge between business and data engineering, ensuring data pipeline reliability, standardization, and evolution. * Planning and goals: Collaborate with leaders to define and track strategic goals for the area. 2512210202551875617