Carolina Cabrera John
About Carolina Cabrera John
Carolina Cabrera John is a Data Analyst based in Berlin, Germany, with a strong academic background in American Studies and Modern Languages. She has held various analytical roles at companies such as Wayfair, Babbel, and Inkitt, focusing on optimizing product features and user engagement through data analysis.
Work at Inkitt
Carolina Cabrera John has been employed as a Data Analyst at Inkitt since 2022. In this role, she focuses on evaluating A/B tests to optimize product features and enhance user engagement. She contributes to the development of data infrastructure, which supports comprehensive data analysis. Her work involves utilizing SQL, Python, and data visualization tools to analyze user behavior and identify growth opportunities. Additionally, she conducts in-depth analyses of performance metrics to inform strategic decisions within the organization.
Previous Experience in Data Analysis
Before joining Inkitt, Carolina worked as a Senior Product Analyst at Wayfair from 2021 to 2022. Her role involved analyzing product performance and user engagement in Berlin, Germany. Prior to Wayfair, she served as a Product Analyst at Babbel from 2019 to 2021, where she focused on product analysis and user behavior. Carolina also gained experience as a Research Analyst at Market Logic Software from 2013 to 2017, contributing to research and data analysis projects in the Berlin Area.
Education and Expertise
Carolina Cabrera John holds a Master of Arts in American Studies from Humboldt-Universität zu Berlin, where she studied from 2012 to 2018. Her academic background includes Cultural Studies, Critical Theory, and Analysis. Additionally, she earned a Licenciatura in Modern Languages from Universidad de los Andes (VE), focusing on Teaching English, Spanish, and French as a Second or Foreign Language from 2004 to 2010. She also completed a course in Spanish as a Foreign Language at Instituto Cervantes in Berlin in 2014.
Skills in Data Analysis
Carolina possesses strong skills in data analysis, particularly in building data pipelines to enhance reporting and analytical capabilities. She utilizes a combination of SQL and Python for data manipulation and analysis. Her expertise extends to data visualization, which aids in interpreting user behavior and performance metrics. Carolina's analytical skills contribute significantly to her ability to inform strategic decisions based on comprehensive data insights.