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IH Business Analyst
Ref No.: 18-03916
Location: Montpelier, Vermont
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company's growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

- Research claim and service related issues identify and document trends, potential system issues, and root causes. - Identify and propose recommendations for process improvements, to include creating action plans, changing departmental procedures and writing desk procedures for management review and implementation. - Participate in and supports functioning of the principle elements of Integrated Health Management departmental functions. - Effectively work with IT staff on identified system issues. - Represent the Integrated Health Management Department on project teams and workgroups. - Identify on-going training needs and provide cross-training opportunities for all staff. - Perform on-going root cause analysis of both provider and member inquiries with a goal of reducing these when possible. - Conduct internal audits of staff process and functionalities to support regulatory and accreditation standards. - Create and maintain crystal reports for Integrated Health Management to assist in root cause analysis, productivity statistics, internal and external reporting and inventory management. - Assist staff with complex inquiries and/or system related issues. - Identify and participate in educational opportunities to remain current with industry trends and issues. - Assist with day to day functionalities relating to preadmission review, intake triage and daily hospital census when needed. - Identify opportunities to improve workflows in Integrated Health Management in order to enhance service to our customers. - Analyze production data and determine the most effective and efficient ways in which to increase productivity while maintaining excellent quality.