Eduardo Maia

Eduardo Maia

Analytics Engineer @ Carta

About Eduardo Maia

Eduardo Maia is an Analytics Engineer currently working at Carta, where he focuses on optimizing company growth through data analysis. He has a background in entrepreneurship and has previously held leadership roles in data and sales operations.

Work at Carta

Eduardo Maia has been employed at Carta as an Analytics Engineer since 2023. He operates remotely from Florianópolis, Santa Catarina, Brazil. In this role, he focuses on optimizing company growth through data analysis and facilitating self-service analytics. His efforts enable the Carta Europe team to access reliable data, which supports informed decision-making.

Education and Expertise

Eduardo Maia pursued a degree in Ciência da Computação at Universidade do Sul de Santa Catarina, where he is expected to achieve his Bacharelado from 2022 to 2026. His educational background provides a strong foundation in computer science, which complements his expertise in data analysis and engineering.

Background

Before joining Carta, Eduardo Maia co-founded Pessoalize, where he served as Head of Data & Planning from 2018 to 2023. His entrepreneurial experience has fostered a passion for problem-solving and learning new techniques. Prior to Pessoalize, he worked as Head of Sales Ops at Huggy for nine months and as a Planning Analyst at Flex Relacionamentos Inteligentes for two years.

Achievements at Pessoalize

At Pessoalize, Eduardo Maia developed a new method to scale operations for clients, focusing on achieving optimal results with the appropriate tools. He structured the planning team and enhanced communication between the engineering team and other departments by implementing best practices in data engineering and data science.

Professional Skills

Eduardo Maia possesses strong skills in data analysis, constant testing, and learning. His experience as an entrepreneur contributes to his ability to optimize company growth. He is adept at facilitating self-service analytics, which empowers teams to make data-driven decisions.

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