Viviane Gomes
About Viviane Gomes
Viviane Gomes is a Data Ingestion Lead at Xeneta, where she has worked since 2023. She has a background in data analysis and client services, with previous roles at Xeneta, BRITech S.A., and Universidade Anhembi Morumbi.
Current Role at Xeneta
Viviane Gomes currently serves as the Data Ingestion Lead at Xeneta, a position she has held since 2023. In this role, she is responsible for overseeing data ingestion processes, ensuring the accuracy and efficiency of data management within the organization. Her work is based in Oslo, Norway.
Previous Experience at Xeneta
Prior to her current role, Viviane Gomes worked at Xeneta as a Data Analyst from 2022 to 2023. During her tenure, she contributed to various data analysis projects, enhancing the company's data-driven decision-making capabilities. She also held the position of Junior Data Analyst at Xeneta in 2021 for five months.
Professional Background
Viviane Gomes has a diverse professional background, having worked in various roles across different organizations. She served as a Sales & Client Services Analyst at BRITech S.A. from 2015 to 2016 and as a Teaching Assistant at Universidade Anhembi Morumbi in 2013. Additionally, she gained experience as an Intern at CERTEGO Group Scandinavia in 2020 and as an Apprentice at Makro Atacadista S.A. from 2011 to 2012.
Educational Qualifications
Viviane Gomes holds a Master of Science (MSc) in Business Analytics from BI Norwegian Business School, where she studied from 2019 to 2021. She also earned a Bachelor of Science (BSc) in Industrial Engineering from Universidade Anhembi Morumbi, completing her studies from 2013 to 2017. Her educational background supports her expertise in data analysis and business processes.
Internship and Research Experience
In addition to her formal employment, Viviane Gomes has engaged in internships and research roles. She was an Undergraduate Research Fellow at Universidade Anhembi Morumbi from 2014 to 2015 and completed an internship at BRITech S.A. in 2014. These experiences have contributed to her analytical skills and understanding of data management.