Sedgwick

Sedgwick

Outside Contents Evaluator Assistant

Bay City, MI

Sponsorship not specifiedDetected 9 days ago
CybersecurityCustomer SupportCommunicationMicrosoft Office

About the role

  • It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected.
  • We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance.
  • Here, there's no limit to what you can achieve.

Responsibilities

  • Ability to drive up to 8 hours per day and/or ride for an extended period.
  • The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description.
  • Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.

Requirements

  • High school diploma or GED required.
  • Ability to read and comprehend policy language
  • Ability to work in a team environment
  • Ability to meet or exceed Performance Competencies
  • Credit security clearance, confirmed via a background credit check, is required for this position.
  • Education & Licensing
  • Experience
  • One (1) year customer service experience or equivalent combination of education and experience preferred.
  • Skills & Knowledge
  • Oral and written communication skills
  • PC literate, including Microsoft Office products
  • Good comprehensive decision making skills
  • When applicable and appropriate, consideration will be given to reasonable accommodations.
  • Mental: Clear and conceptual thinking ability

Benefits

  • Hearing, vision and talking

Equal opportunity

  • Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
  • Equal Opportunity Employer and a Drug-Free Workplace.

Visa & Work Authorization

  • NOTE: Credit security clearance, confirmed via a background credit check, is required for this position

This listing is sourced directly from Sedgwick's careers page and normalized into a canonical job model.