📊 Gonzalo Zariaga

📊 Gonzalo Zariaga

Senior Analytics Engineer @ Circle.so

About 📊 Gonzalo Zariaga

Gonzalo Zariaga is a Senior Analytics Engineer with extensive experience in data analysis and engineering across various companies. He has a strong background in implementing tracking systems, conducting A/B testing, and mentoring analysts.

Current Role at Circle.so

Gonzalo Zariaga serves as a Senior Analytics Engineer at Circle.so since 2022. In this role, he collaborates with stakeholders across various teams and levels of seniority within the organization. His responsibilities include developing analytics solutions that support data-driven decision-making and enhancing the overall analytics capabilities of the company.

Previous Experience in Data Analytics

Prior to his current position, Gonzalo Zariaga accumulated extensive experience in data analytics. He worked at AppOnboard as a Product and Marketing Data Analyst from 2019 to 2022, and at Shiptimize as a Marketing Data Analyst for one year from 2019 to 2020. Additionally, he spent five years at Buildbox as a Data Analyst, where he developed skills in web and app tracking and A/B testing.

Background in Data Engineering

Gonzalo Zariaga has a solid background in data engineering, having worked as an ETL Developer at General Motors from 2013 to 2016. He also held the position of Service Info Developer at Hewlett-Packard Enterprise Services in Argentina from 2011 to 2013. These roles provided him with foundational knowledge in data processing and management.

Education and Qualifications

Gonzalo Zariaga studied at Universidad Abierta Interamericana, where he earned an Associate’s Degree in System Analysis from 2011 to 2014. This educational background laid the groundwork for his career in data analytics and engineering.

Mentorship and Leadership in Analytics

Gonzalo Zariaga actively mentors small groups of analysts, focusing on enhancing their technical and soft skills. His mentorship approach emphasizes practical knowledge and the development of competencies necessary for success in the analytics field.

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