Product Analyst III, Data

Role Overview

• Consolidate, analyze and interpret product portfolio data, transforming information into actionable insights for management.
• Monitor performance, profitability, penetration, conversion, retention, churn, loss ratio, productivity and other business-related KPIs.
• Support the definition and evolution of the product area’s strategic indicators.
• Structure recurring analyses and ad hoc studies to support leadership decision-making.
• Develop, maintain and evolve dashboards, management panels and executive reports.
• Ensure the reliability, consistency and traceability of the information used by the area.
• Identify performance deviations, improvement opportunities and result drivers.
• Support the development of predictive analyses, scenarios and projections for portfolio planning and monitoring.
• Conduct market studies, benchmarking and competitive analysis, identifying trends, industry movements, opportunities and risks.
• Map customer behavior, consumption needs, audience profiles and market potential.
• Support the identification of opportunities for new products, offer adjustments, commercial repositioning and revitalization of existing products.
• Produce analytical materials on market, portfolio, channels, segments and competitors.
• Assist the area in defining product strategy based on data, performance and market insights.
• Contribute to studies for prioritizing initiatives, implementation, revitalization or discontinuation of products.
• Participate in the preparation of business cases, feasibility analyses and studies of commercial potential.
• Support the monitoring of product life cycles.
• Work collaboratively with commercial, operations, technology, partners, planning, marketing and finance teams.
• Translate business demands into analytical and structural requirements.
• Support governance forums with consistent information, critical perspective and objective recommendations.
• Build executive presentations and materials for reporting to leadership and stakeholders.

Requirements

• Completed higher education.
• Proficiency in Microsoft Office (Excel).
• Knowledge of Power BI.
• Knowledge of SQL.

Preferred qualifications:

• Experience in sectors such as insurance or bancassurance.
• Experience with customer behavior studies, segmentation and journey analysis.

Tech Stack

• SQL

Benefits

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