Key skills
ETLPythonSQLTableauRLookerBIPower BIAgileSales
About this role
Role Overview
- Structure and analyze data related to insurance products (life, health, auto, property, among others).
- Build and maintain management dashboards and reports (Power BI, Tableau, Qlik, Looker).
- Support Product, Finance and Claims areas by translating requests into strategic analyses.
- Monitor business KPIs: loss ratio, retention, LTV, churn, sales performance and profitability.
- Ensure the quality and governance of the data used in reports.
- Participate in digital transformation and data-driven innovation projects in insurance.
- Track KPIs such as adoption, average ticket size, margin by channel and repurchase cycle.
- Interface with Sales, IT, Reverse Logistics, Finance and recommerce partners.
- Support the design and modeling of promotional campaigns that incentivize trade-ins of used products.
- Create management dashboards and analytical reports to support decision-making.
Requirements
- Bachelor's degree in Statistics, Economics, Engineering, Business Administration, Computer Science or related fields.
- Experience in data analysis applied to the financial or insurance sector.
- Proficiency in SQL and BI tools (Power BI, Tableau or similar).
- Advanced Excel.
- Knowledge of applied statistics and data modeling.
- Experience with Agile methodologies.
- Knowledge of insurance processes, especially Claims.
Desired:
- Experience at insurers, banks or fintechs.
- Knowledge of actuarial science or risk modeling.
- Proficiency in Python or R for advanced analyses.
- Experience with Data Warehouse/ETL.
Tech Stack
- ETL
- Python
- SQL
- Tableau
Benefits
- Competitive compensation based on experience;
- Opportunities for career growth and involvement in strategic projects;
- Dynamic and challenging work environment;
- Opportunity to work at a rapidly growing company in the market.