Jayson Nabo

Jayson Nabo

Qa Team Leader @ Procter & Gamble

About Jayson Nabo

Jayson Nabo is a QA Team Leader at Procter & Gamble with expertise in SAP Netweaver and strong laboratory skills.

Company

Jayson Nabo currently works at Procter & Gamble in Cabuyao, Philippines. He has been with the company since 2018, transitioning from a Quality Assurance Analyst position to the role of QA Team Leader in 2021. Procter & Gamble, a global leader in consumer goods, focuses on numerous product categories, including beauty, health, and home care, which underscores the significance of quality assurance in their operations.

Title

Jayson Nabo holds the position of QA Team Leader at Procter & Gamble, a role he has been in since 2021. His responsibilities include overseeing quality assurance processes, ensuring that products meet the company’s high standards. His leadership in this area is vital for maintaining product integrity and safety.

Education and Expertise

Jayson Nabo earned a Bachelor of Science in Chemistry from the Polytechnic University of the Philippines, where he studied from 2014 to 2018. His expertise spans several key areas including SAP Netweaver, laboratory skills, and data analysis. He is also proficient in using Microsoft Office for quality assurance documentation and reporting, enhancing his effectiveness in his professional roles.

Background

Prior to his current role at Procter & Gamble, Jayson Nabo gained industry experience at Atom Chemical Company, where he worked as a Chemical Analyst Intern in 2017. This two-month internship in Bagong Ilog Pasig provided him with foundational skills in chemical analysis. His career progression reflects a steady development of expertise in quality assurance and chemistry.

Laboratory and Data Analysis Skills

Jayson Nabo's strong laboratory skills contribute significantly to his effectiveness in quality assurance roles. His ability to conduct detailed analyses and interpret complex data enhances decision-making processes within the team. Additionally, his proficiency in data analysis tools and techniques ensures that quality assurance tasks are executed with precision and reliability.

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