热门公司

招聘

职位Fanatics

Material Handler

Fanatics

Material Handler

Fanatics

Easton, PA, United States, US

·

On-site

·

Full-time

·

1mo ago

RESPONSIBILITIES:

  • Distributes work from staging areas to the Packing stations and scan location.

  • Arranges orders by size for packing efficiency.

  • Cuts up and disposes of cardboard cases, plastic and packing materials and take to the compactor.

  • Separates hangers for recycling.

  • Maintains supplies (hangtags, labels, clips) for packing stations.

  • Clean garments per current processes.

  • Keeps work area clean and safe.

  • Other duties as assigned by supervisor.

REQUIREMENTS:

  • Must be able to read and write English

  • Must be able to use RF Scanner

  • Must be able to use pallet jacks

  • Must be able to lift heavy boxes

  • Must be able to use chemicals

  • Must be able to work standing for extended periods of time

  • Must be able to work overtime, as required, including weekends

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Fanatics

Fanatics

Fanatics

Series F+

Fanatics, Inc. is a global digital sports platform that consists of several businesses, including licensed sports merchandise, trading cards and collectibles, sports betting and iGaming, special events, and live commerce.

10,001+

员工数

Jacksonville

总部位置

$27B

企业估值

评价

2.6

10条评价

工作生活平衡

2.5

薪酬

2.8

企业文化

3.2

职业发展

3.5

管理层

2.0

35%

推荐给朋友

优点

Friendly coworkers and employees

Learning opportunities and growth

Fast-paced productive environment

缺点

Poor management behavior and disrespect

Limited PTO and sick leave policies

Long workdays and mandatory overtime

薪资范围

288个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Manager Business Analyst Forecasting

1份报告

$149,500

年薪总额

基本工资

$130,000

股票

-

奖金

-

$149,500

$149,500

面试经验

3次面试

难度

3.7

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

System Design