Clarice Mc Gee

Clarice Mc Gee

Senior Business Analyst @ Amazon Logistics

About Clarice Mc Gee

Clarice McGee is a Senior Business Analyst at Amazon Logistics, with a background in logistics and supply chain management. She holds a Bachelor of Science degree from the University of London and has experience in database creation, data analysis, and dashboard development.

Work at Amazon Logistics

Clarice McGee has held multiple roles at Amazon Logistics since 2015. She began as a Transport Operations Analyst, where she worked for four years in Hemel Hempstead, United Kingdom. In 2019, she transitioned to a Transportation Operations Analyst role for nine months. Following this, she served as a Network Development Analyst from 2020 to 2021 in London, England. Since 2021, she has been working as a Senior Business Analyst, focusing on operational performance and logistics costs. During her tenure, she developed key metrics and Tableau dashboards that assisted senior leadership in monitoring performance.

Education and Expertise

Clarice McGee studied at the University of London, where she earned a Bachelor of Science degree from 2003 to 2007. She also attended Birkbeck, University of London, where she studied Information Systems and Management, achieving a BSc during the same period. Her educational background provides her with a strong foundation in data analysis and management, which she applies in her current role as a Senior Business Analyst.

Background

Before her extensive career at Amazon Logistics, Clarice McGee worked at Hewlett-Packard as an EMEA Logistics Procurement Analyst from 2009 to 2015. She contributed to significant cost savings by recommending logistics provider selections, resulting in annual savings of $1.7 million. Additionally, she held roles at Thyssenkrupp Aerospace as a Supply Chain Business Analyst and at Woolworths Plc as an Inventory Analyst, gaining diverse experience in logistics and supply chain management.

Achievements

Clarice McGee has successfully completed several notable projects throughout her career. At Thyssenkrupp Aerospace, she created a database in MS SQL Server linked to an Inventory Management dashboard. She also designed a dashboard using Microsoft Power BI, mastering the tool within a week. At Amazon, she showcased her SQL proficiency by converting Oracle SQL queries to Redshift during a migration project. Currently, she is learning Python to automate data import processes, further enhancing her technical skills.

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