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Mariana Rosa de Oliveira
Sr Analytics Engineer @Pier Seguradora
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WORK HISTORY
Sr Analytics Engineer @Pier Seguradora
Data Modeling and ETL Pipelines: Led end-to-end projects, focused on defining and implementing the company’s new marketing attribution framework, including the creation of attribution rules, data modeling, data quality tests, and analytical dashboards for performance monitoring and decision-making. Provided technical leadership in defining and reviewing data models, ensuring consistency, standardization, and high-quality deliverables of the Analytics Engineering team.Data Governance: Defined and implemented processes to deprecate datasets and dashboards in Amazon QuickSight, ensuring consistency and reliability of data structures. Support mapping and documenting tables, promoting broader access to information and strengthening data governance practices. Provided technical support to the business team in the review and optimization of SQL queries developed by other areas, which improved query performance and analysis reliability.Regulatory Reports: Standardized and automated the submission of information to CNSeg (National Confederation of Insurers), ensuring data quality, integrity, and regulatory compliance in daily reports.
EDUCATION
USP - Universidade de São Paulo
Graduação, Engenharia Aeronáutica
PUC Minas
Pós-graduação Lato Sensu - Especialização, Engenharia de Dados
USP - Universidade de São Paulo
Curso de Extensão, Análise de Dados com Python
ABOUT MARIANA ROSA DE OLIVEIRA
Analytics Engineer with experience building scalable data platforms and reliable data models that support business decision-making. I specialize in designing and implementing ETL/ELT pipelines, ensuring data quality, governance, and consistency across modern data stacks. With a background in growth and analytics, I bring a strong business perspective to technical solutions, connecting data architecture to real business outcomes.I have worked across industries such as insurtech, SaaS, and e-commerce, collaborating closely with cross-functional teams to enable trusted, well-structured, and accessible data. I’m particularly interested in improving data reliability, standardization, and usability, making data a strategic asset for organizations.
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