Kayleigh Fish

Kayleigh Fish

Shift Manager @ Amazon Logistics

About Kayleigh Fish

Kayleigh Fish is a Shift Manager at Amazon Logistics in Chester, England, with a background in Occupational Health and Safety and Forensic Investigation. She has extensive experience in risk assessments and implementing EU regulations in a high-pressure logistics environment.

Work at Amazon Logistics

Kayleigh Fish has been employed at Amazon Logistics as a Shift Manager since 2021. In this role, she oversees operations in a high-pressure logistics environment in Chester, England. Her responsibilities include managing a large workforce and ensuring compliance with safety regulations. Prior to her current position, she held various roles within Amazon, including WHS Specialist and WHS Coordinator, where she focused on workplace health and safety.

Education and Expertise

Kayleigh Fish studied at Staffordshire University, where she earned a Bachelor's degree in Forensic Investigation from 2013 to 2016. She furthered her education at CITY & GUILDS, achieving a Level 3 NVQ in Occupational Health and Safety in 2018 and a Level 5 NVQ in the same field from 2020 to 2021. Her educational background supports her extensive experience in risk assessments and safety management within logistics.

Background

Kayleigh Fish has a solid background in workplace health and safety, particularly in logistics. She has worked in various capacities at Amazon, starting as a WHS Coordinator from 2016 to 2019, then as a WHS Specialist from 2019 to 2021. Her experience includes implementing EU regulations in a logistics environment with a workforce of up to 4,000 employees during peak seasons.

Achievements

Throughout her career, Kayleigh Fish has demonstrated a commitment to safety and compliance in logistics. She has extensive experience in conducting and reviewing risk assessments, which are critical in maintaining workplace safety. Her role in implementing EU regulations showcases her ability to manage large teams and ensure adherence to safety standards in a dynamic environment.

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