Healthcare Data Analyst I - Indianapolis, United States - Navient - Xtend Healthcare

Navient - Xtend Healthcare Indianapolis, United States

3 weeks ago

Description

Navient's wholly owned subsidiary Xtend Healthcare is seeking qualified professionals to fulfill a specific need at one of our key clients of EY (Ernst & Young).

These full-time Navient Xtend Healthcare employee positions offer flexibility, attractive pay including premium-paid overtime, and an attractive benefits package (e.g., heavily subsidized insurance, significant paid time off, and matching 401k funding).

THIS POSITION IS REMOTE / HYBRID / WORK IN OFFICE

INDIANAPOLIS, INDIANA.

Our Healthcare Data Analyst I employees have data analytics, informatics or business backgrounds.

They assist EY's clients in complying with Medicare, Medicaid and other regulatory requirements, in addition to helping them receive the appropriate amount of reimbursement from these programs.

These positions work with EY's proprietary tools to analyze large volumes of hospital data.

The candidates must employ various technical data manipulation techniques to analyze large complex data sets, identify data patterns, data mine, etc.

Through training, candidates must learn and apply relevant regulations to compile data sets. Candidates must be able to communicate results of the analysis to project managers. These positions offer a highly flexible working environment. For those living near Indianapolis, Indiana, professionals have the opportunity to work partially in the office and remotely.

Regardless of work location, professionals will work with EY's national healthcare reimbursement hub professionals, most of whom are based out of the Indianapolis, Indiana office.

Applicants need not live near Indianapolis and may work remotely within the United States, although occasional travel to EY's Indianapolis office may be required.

EY is a globally recognized professional services firm and its Indianapolis healthcare consulting practice serves a variety of healthcare clients nationally.

Navient Xtend Healthcare through EY offers our team members a highly inclusive, flexible work environment.

Benefits also include the opportunity to develop and build upon deep technical skills and develop healthcare industry and consulting knowledge through on-the-job training.

The EY assignment is long-term with no scheduled end date. Many employees have been assigned to EY for multiple years, some well over fifteen years through retirement. Some individuals do occasionally travel to client sites for work, but travel is not required by most.

JOB SUMMARY:
1. Analyze large volumes of hospital data. 2.

Employ various techniques to analyze large complex data sets:
a. Data manipulation b. Dana mining c. Identifying data patterns 3. Learn and apply relevant regulations to compile data sets. 4. Communicate results of analysis succinctly to project managers.

MINIMUM REQUIREMENTS:
Bachelor's degree in Business, Informatics, Data Analytics, Finance, Accounting, or a related field (additional equivalent experience above the required minimum may substitute for the required level of education) Intermediate level proficiency with Microsoft Excel required, with Microsoft Access, SQL or other database software experience recommended Successful reference check, background check and drug screening (required)

PREFERRED QUALIFICATIONS:
Intermediate level proficiency with Microsoft Excel (required) with Microsoft Access, SQL or other database software experience (recommended) Acute attention to detail and strong analytical skills (required) Strong written and verbal communication skills Ability to employ critical thinking skills and work independently while also working well within a team environment Receptiveness to differing views and ideas with the ability to apply industry-specific concepts Highly adaptable to changing circumstances and/or directives in day-to-day priorities Ability to perform well on frequent repetitive tasks while continually improving skills and competencies Willingness to travel occasionally (plus)

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