Build and evolve pricing models and methodologies for the segment;
Work with mutuality-based pricing, ensuring the correct calculation methodology and the improvement of expected results;
Ensure the financial performance of mutuality contracts by monitoring indicators and margins, reconciling billings, and developing new strategies for the model;
Design and oversee statistical tests and tools to support pricing decision-making for products;
Monitor and reconcile the product's financial results, providing structured analyses and insights to support decision-making;
Execute the pricing strategy, aiming to identify optimal pricing scenarios aligned with the company's strategy;
Contribute to process improvements within the area by proposing, implementing, and developing tools that facilitate information management and results analysis;
Seek more effective ways to present performance trends and recommend improvements based on indicators, while managing area processes to ensure governance and transparency.

Bachelor's degree in Actuarial Science, Statistics, Engineering, Business Administration, Economics, or related fields;
Analytical mindset and strong logical reasoning;
Advanced Excel;
Knowledge of SQL;
Prior experience with pricing and revenue management;
Knowledge of R / Python is a plus;
Ownership mindset and business acumen.

Management Information Analyst

Key skills