Waystar

Waystar

Technical Support Analyst

Duluth, GA

Sponsorship not specifiedDetected 26 days ago
SalesforceCRMOutbound SalesCustomer SupportResearchCommunication

About the role

  • Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.
  • Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012.
  • For more information, visit waystar.com or follow @Waystar on Twitter.

Responsibilities

  • Provide exceptional support to our clients with meaningful and thoughtful communication - via phone (inbound and outbound calls), online support requests, and live chat
  • Utilize multiple internal systems and software to understand client inquiries/issues, research possible solutions, and document all client communication

Requirements

  • (highly valued, but not required):
  • Bachelor's Degree

Compensation

  • Competitive total rewards (base salary + bonus, if applicable)

Benefits

  • Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.
  • We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • Previous experience with ANSI X12 EDI transactions and/or medical billing claim forms (CMS 1500 or UB-04)

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