Inês Caneira

Inês Caneira

Data Analyst @ Carpe Data

About Inês Caneira

Inês Caneira is a Data Analyst with a strong background in Environmental Engineering and Business Intelligence. She has worked in various roles within the insurance industry, focusing on improving underwriting and claims processes through data solutions.

Current Role at Carpe Data

Inês Caneira currently serves as a Data Analyst at Carpe Data, a position she has held since 2021. In this role, she focuses on enhancing the insurance life cycle through innovative data solutions. Her work involves analyzing various data sources to provide insights that drive improvements in the insurance sector.

Previous Experience in the Insurance Industry

Before joining Carpe Data, Inês Caneira worked on projects aimed at improving underwriting and claims processes within the insurance industry. Her experience includes a three-year tenure as a Business Analyst at BNP Paribas, where she contributed to the optimization of insurance operations through data analysis.

Educational Background

Inês Caneira has a robust educational background in environmental engineering and data analysis. She studied at Instituto Superior Técnico, earning a Master of Science (MSc) in Environmental Engineering Technology from 2008 to 2014. Additionally, she completed a post-graduation in Knowledge Management and Business Intelligence at NOVA IMS from 2019 to 2020.

Work Experience at Deloitte

Inês Caneira gained valuable experience at Deloitte Portugal, where she held multiple roles. She started as a Trainee from 2015 to 2016, followed by a position as an IT Analyst in the Financial Services Industry (FSI TI) from 2016 to 2017. These roles provided her with insights into IT and business analysis within a consulting environment.

Expertise in Data Analysis

Inês Caneira possesses expertise in leveraging alternative data sources, including social media and online content, to derive insights for the insurance sector. This skill set enables her to provide valuable data-driven recommendations that enhance decision-making processes within her field.

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