Senior Homeowner Claims QA Analyst - Remote

CSAA Insurance Group

Nebraska

Remote

USD 100,000 - 133,000

Full time

5 days ago
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Benefits offered by this job

Annual bonus eligibility
401(k) with company match
Remote-first culture

Job summary

CSAA Insurance Group is hiring a Homeowner Claims Quality Assurance Senior Analyst to work remotely across the United States. The role focuses on applying QA methods to claims processes, planning audits, and presenting findings to executives.

You will lead multiple projects, mentor peers, and build relationships with claims leaders. The position requires 6+ years in claims handling and a related bachelor's degree; an advanced degree is a plus and familiarity with data analysis is valued.

Qualifications

  • BS/BA or equivalent combination of education and experience.
  • 6+ years experience in claims handling.
  • Advanced Degree (CPA, MBA) preferred.
  • Auditing experience and data-driven risk detection are a plus.

Responsibilities

  • Applies QA techniques to examine output and efficiency of claims processes.
  • Plans, executes, analyzes, and presents auditing outcomes for claims.
  • Leads multiple projects concurrently and coordinates with peers.
  • Prepares persuasive written reports for claims executives and leaders.
  • Trains newer peers in technical aspects of the job.
  • Builds a professional network with claims leaders and participates in meetings.

Skills

Auditing
Claims handling
Communication
Data analysis
Mentoring
Problem solving
MS Office

Education

BS/BA or equivalent
Advanced Degree (CPA, MBA)

Tools

MS Access
Excel
PowerPoint

Job description

CSAA Insurance Group is hiring a Homeowner Claims Quality Assurance Senior Analyst to work remotely across the United States. The role focuses on applying QA methods to claims processes, planning audits, and presenting findings to executives.

You will lead multiple projects, mentor peers, and build relationships with claims leaders. The position requires 6+ years in claims handling and a related bachelor's degree; an advanced degree is a plus and familiarity with data analysis is valued.

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