Claims Specialist

BeltmannSan Antonio, TX
Onsite

About The Position

The Claims Specialist will manage claims from initial submission through settlement and closure. This role involves reviewing various documents to determine liability, prioritizing claims, and maintaining accurate claim files. The specialist will also calculate settlements, identify responsible parties, and communicate claim decisions professionally to all stakeholders. This is a full-time position with a Monday-Friday schedule.

Requirements

  • Strong computer and data entry skills with the ability to learn multiple systems.
  • Excellent attention to detail, organization, and time-management skills.
  • Ability to multitask and prioritize changing workloads.
  • Strong reading comprehension and ability to interpret detailed documentation.
  • Basic accounting/math skills for settlements, liability, and chargebacks.
  • Strong written and verbal communication skills.
  • Comfortable making decisions and communicating liability to responsible parties.
  • Able to work independently and follow claims through to completion.

Nice To Haves

  • Previous claims, moving & storage, transportation, logistics, or related experience is preferred but not required.

Responsibilities

  • Manage claims from initial submission through settlement and closure.
  • Review inventories, condition reports, photographs, estimates, delivery documents, and other moving records to determine liability.
  • Prioritize claims based on urgency, severity of damage, deadlines, and customer needs.
  • Maintain accurate claim files, notes, documentation, and follow-up tasks.
  • Calculate settlements, deductibles, liabilities, and chargebacks.
  • Identify responsible parties and communicate financial liability when applicable.
  • Communicate claim decisions professionally with customers, drivers, agents, vendors, and internal teams.
  • Handle difficult conversations and disputes professionally and confidently.
  • Follow established daily tasks, procedures, and timelines while managing a high-volume workload.
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