- Страна
- США
- Зарплата
- 61 851 $ – 81 180 $
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на вакансии с ИИ

Senior Analyst, Provider Data Operations
Привлекательная позиция в известном американском медтех-единороге с прозрачной оплатой и отличным пакетом льгот. Удаленный формат работы и фокус на современные технологии делают вакансию очень конкурентной.
Сложность вакансии
Роль требует специфического опыта в сфере здравоохранения (Provider Data) и уверенного владения инструментами анализа данных (Excel, SQL). Основная сложность заключается в необходимости сочетать техническую работу с данными и активные коммуникации с провайдерами.
Анализ зарплаты
Предложенная зарплата ($61k - $81k) находится в пределах рыночной нормы для Senior-позиций начального уровня в операционном анализе данных в США, хотя для узкоспециализированного Senior Analyst в HealthTech она может быть чуть ниже медианы по стране. Тем не менее, пакет бонусов и неограниченный отпуск компенсируют это.
Сопроводительное письмо
I am writing to express my interest in the Senior Analyst, Provider Data Operations position at Oscar. With over two years of experience in healthcare provider data management and a strong proficiency in Excel and data troubleshooting, I am confident in my ability to maintain the integrity of Oscar's provider network. My background in managing complex data escalations and performing root cause analysis aligns perfectly with the responsibilities of this role.
I am particularly drawn to Oscar's mission of building a health insurance company around a full-stack technology platform. Having worked with large datasets and being proficient in SQL and BigQuery, I am eager to apply my analytical skills to improve data ingestion processes and support your team's operational excellence. I look forward to the possibility of contributing to a team that values both technical innovation and member-centric service.
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Описание вакансии
Hi, we're Oscar. We're hiring a Senior Analyst, Provider Data Operations 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:
You will be responsible for ensuring Oscar's provider data is maintained consistently and managing critical/complex data escalations to resolution. Key responsibilities include processing provider and facility rosters, data transformation, and supporting updates to provider records. This role involves regular communication with providers via email to confirm request completion, obtain additional information, and address follow-up inquiries. You will also collaborates with internal teams by triaging, remediating, and analyzing root causes.
You will report into the Provider Operations Lead.
Work Location: This is a remote position, open to candidates who reside in: Arizona; Florida; Georgia; or Texas. While your daily work will be completed from your home office, occasional travel may be required for team meetings and company events. #LI-Remote
Pay Transparency: The base pay for this role is: $61,851 - $81,180 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.
Responsibilities:
- Maintain existing and incoming provider demographic information to ensure accuracy and quality of the network by supporting run-state, repeatable issues of moderate complexity
- Manage ingestion of provider data while maintaining service delivery, productivity, and quality expectations
- Surface various provider issues within standard operating procedure through proactive identification, measurement, and monitoring of our operations and provide feedback to reduce errors, improve processes, and performance
- Build training materials, update workflows, and support team lead or SME in coaching
- Support driving and tracking business decisions, develop root cause analyses and reports for review by team leads and SMEs
- Assist in developing and maintaining standards for quality assurance, leading corrective activities and manage communication processes with other departments regarding improvements.
- Escalate and resolve provider data issues to ensure appropriate turnaround times
- Support team members of all levels through provider data escalation research and resolution
- Drive decisions within standard operating procedures
- Effectively communicate findings and resolutions with key stakeholders internally and/or externally
- Manage queue work and assigned caseload through effective dashboard management while ensuring integrity of information entered into company and/or external systems
- Other duties as assigned
Requirements:
- 2+ years of work experience in healthcare working with provider data management
- 2+ years of intermediate Excel/Google Sheet proficiency
- 2+ years of assessing and comprehending end to end process impact
- 2+ years experience analyzing datasets and troubleshooting basic data nuances
- 2+ years of inventory management queue experience
Bonus points:
- 2+ years of intermediate proficiency in SQL, BigQuery or similar database language experience
- Prior work experience in tech and/or healthcare
- Proficiency with non Microsoft business platforms
- Proficiency in using a credentialing or provider data repository
- Experience working with large datasets, data verification, data management, data modeling
- Experience with healthcare data such as provider and/or claims data
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraudhere.
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.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 Privacy Policy.
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Навыки
- Excel
- Google Sheets
- SQL
- BigQuery
- Data Analysis
- Data Modeling
- Healthcare Data
- Root Cause Analysis
- Data Management
Возможные вопросы на собеседовании
Проверка ключевого навыка, указанного в требованиях.
Опишите ваш опыт работы с реестрами провайдеров (rosters) и трансформацией данных в Excel или SQL.
Оценка способности кандидата находить и исправлять системные ошибки.
Расскажите о случае, когда вы провели анализ первопричин (root cause analysis) для решения проблемы с данными. Каков был результат?
Важно понять, как кандидат справляется с большим объемом задач.
Как вы приоритизируете задачи при управлении очередью (queue management), когда поступает несколько срочных запросов от провайдеров?
Роль подразумевает взаимодействие с внешними сторонами.
Как вы подходите к общению с медицинскими организациями для уточнения недостающей или некорректной информации?
Проверка владения дополнительными инструментами, упомянутыми в вакансии.
Есть ли у вас опыт работы с BigQuery или другими облачными базами данных для анализа больших массивов информации?
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- Страна
- США
- Зарплата
- 61 851 $ – 81 180 $