Associate, Provider Data Analytics

Associate, Provider Data Analytics

New York, New York, United States

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data Operations team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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 Associate, Provider Data Analytics reviews provider data-related issues and scales solutions through impact analysis. We are looking for collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include understanding business requirements, building and managing project plans, documenting decisions, and developing risk mitigation and change management strategies.

You will report into the Senior Manager, Provider Data Operations.

Work location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay transparency: The base pay for this role is: $96,876.00 - $127,149.75 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions
• Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation
• Identifies trends in provider data issues and scale solutions by leveraging various analytics to assess the overall impact
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• A bachelor's degree or 3+ years commensurate experience
• 3+ years of work experience in operations, health insurance, data analysis, and/or consulting
• 2+ years of experience using SQL and Excel
• 2+ years of experience with end to end project management
• 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures
• 2+ years of experience with process improvement methodologies such as Lean, Six Sigma

Bonus points:

• Bachelor's degree in Engineering, Business Administration, or other related field
• Lean Six Sigma Green Belt certification or higher

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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.

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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 (View email address on click.appcast.io) to make the need for an accommodation known.

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