Hi, we're Oscar. We're hiring a Data Mining Analyst to join our Payment Integrity team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role
The Data Mining Analyst reviews claims data to identify incorrect payments. The Analyst supports payment integrity quality control for incorrect payments identified both internally and by vendors.
You will report to the Senior Manager, Payment Integrity.
Work Location:
Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.
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If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.
You must reside in one of the following states: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
Pay Transparency:
The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $27.31 - $35.84 per hour. The base pay for this role in all other locations is: $24.58 - $32.26 per hour. You are also eligible for employee benefits and monthly vacation accrual at a rate of 15 days per year.
Responsibilities
- Analyze and investigate claims data
- Support quality review claim and concept findings from internal and external partners regarding adverse claim outcomes.
- Utilize data analysis skills and tools to develop accurate, quantitative analyses of issues.
- Work with the team to identify thematic areas of opportunity to reduce incorrect payments.
- Mediate errors with key stakeholders
- Compliance with all applicable laws and regulations
- Other duties as assigned
Qualifications
- 2+ years of experience in healthcare
- 2+ years of experience working with large data sets using excel or a database language
Bonus Points
- Some coding experience or database language exposure
- 2+ years of related work experience in claims processing, payment integrity or similar
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Notice to Job Applicants.