Claims Reporting and Data Analyst

The Reporting and Data Analyst is an integral member of the Claims team who supports the business unit’s reporting needs and coordinates to resolve issues related to claim entry and setup. This position is also responsible for claim submission and RFP intake, data preparation, and distribution of outgoing claim documents.

Responsibilities:

• Run various daily, weekly, and monthly reports as needed
• Extract and acquire data from primary and secondary data sources and maintain data systems
• Develop and perform data validation exercises
• Monitor performance of reporting and quality control plans to identify improvements
• Download claim submissions from emails and FTP sites
• Enter received claims data into administrative system
• File documents into and maintain paperless filing system
• Format and import received claim submissions (claim setup)
• Prepare and transmit completed claim documents
• Review and correct items from administrative system edit reports
• Work closely with clients regarding intake of claim submissions, distribution of outgoing claim documents, and any reporting needs.
• Record incoming requests for proposal (RFPs) into administrative system
• Set up external users on FTP site and regularly verify user access
• Communicate claim information to members of the Claims team as well as other departments including Underwriting and PULSE + Plus™
• Work closely with other Claims team members to meet required deadlines, business objectives, and client service standards.
• Assist Claim Managers as needed in training of claims staff with respect to Claims Associate duties.
• Manage 50% notification process end to end
• Build and maintain proactive and positive working relationships with PartnerRe Health’s internal and external customers (i.e. clients, brokers, PartnerRe Business Units).
• Other duties as may be requested by the Claims Management Team.

Qualifications

• Demonstrated advanced competency in Microsoft Excel and Access
• Strong knowledge of and experience with databases (SQL, etc.)
• Strong analytical skil