A Payment Accuracy, Data Mining (DM) Specialist, is a member of the greater Data Mining Business Unit (BU). Cotiviti's Data Mining team configures custom claim reviews to investigate untapped billing compliance issues specific to regulations and contracted policies across product, market, and provider types.
A Payment Accuracy Data Mining (DM) Specialist is responsible for auditing client data and generating high quality recoverable claims for the benefit of Cotiviti and our clients. Under direct supervision, identifies and inputs recovery claims, voids, or other over-underpayment types. Documents relevant facts, information and conclusions drawn to support the work performed and validate the claim. Communicates audit recommendations to the supervisory auditor for evaluation, verification, and continuous learning. Displays professional skepticism that enhances the work performed to achieve success in the position.
Understands and embodies Cotiviti Core Values, Strategic Pillars, and Operations Disciplines to achieve successful performance in completing assigned responsibilities and interactions with the Organization both internally and externally.
Mental Requirements:
Physical Requirements and Working Conditions:
Base compensation ranges from $21.00 to $24.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Date of posting: 11/12/2025
Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/25/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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