Sofía H.

Senior Product Data Analyst @ Ankorstore

About Sofía H.

Sofía H. is a Senior Product Data Analyst currently working at Ankorstore, where she has been employed since 2022. She has a background in data management and analysis, with previous roles at SnapEDA and Universidad EAFIT, and holds degrees in Process Engineering and a Master's in Engineering.

Current Role at Ankorstore

Sofía H. is currently employed at Ankorstore as a Senior Product Data Analyst. She has held this position since 2022, contributing her expertise in data analysis to enhance product management strategies. In this role, she focuses on leveraging data to identify opportunities for product improvement and implements A/B testing and statistical hypothesis testing to assess the impact of changes.

Previous Experience at SnapEDA

Prior to her current role, Sofía H. worked at SnapEDA from 2019 to 2022. Initially, she served as a Data Analyst for 7 months before transitioning to the role of Data Manager, where she worked for 3 years. Her responsibilities included managing data processes and implementing strategies to optimize data usage for product development.

Work History at Universidad EAFIT

Sofía H. has experience working at Universidad EAFIT in Medellín, Colombia. She served as a Data Administrator for 5 months in 2015 and later as an Aspen Hysys Software Trainer for another 5 months in 2016. These roles involved managing data systems and training students on software applications, respectively.

Education and Expertise

Sofía H. studied at Universidad EAFIT, where she earned a degree in Process Engineering from 2011 to 2016. She furthered her education with a Master in Engineering from 2017 to 2019 at the same institution. Additionally, she completed a course in Statistics for Big Data in 2017, which lasted 11 months. Her educational background supports her specialization in data analysis and product management.

Skills in Data Analysis

Sofía H. specializes in utilizing data analysis techniques to drive product improvements. She employs A/B testing and statistical hypothesis testing to evaluate the effectiveness of proposed changes in product management. Her experience includes managing and planning software changes based on impact and effort assessments, ensuring data-driven decision-making.

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