Provider Data Operations Associate
Maintains and audits doctor and healthcare-institute data by combining multiple sources, validating records, and resolving discrepancies. Requires a bachelor’s degree, at least two years of experience, strong SQL and spreadsheet skills, and exceptional attention to detail.
About the job
Responsibilities
- Use SQL to extract, manipulate, audit, and analyze provider data.
- Build and maintain accurate doctor and healthcare-institute profiles by merging information from multiple sources.
- Manage and update large datasets using Microsoft Excel and Google Sheets; create reports and conduct data analysis.
- Review and verify provider information, identify gaps or inconsistencies, and resolve issues through outreach.
- Ensure data privacy and compliance standards are met.
Requirements
- Bachelor’s degree from a reputable institution; a minimum of 60% in secondary school and graduation is preferred or required by the posting.
- At least 2 years of work experience.
- Relevant experience in data analysis, SQL, or Excel-based roles is highly desirable.
- Familiarity with AI-powered tools for research, summarization, and data validation, including reviewing and quality-checking AI-generated outputs.
- Advanced knowledge of Microsoft Excel and Google Sheets.
- Exceptional attention to detail and accuracy when working with complex data.
- Strong problem-solving and data-discrepancy resolution skills.
- Ability to manage and prioritize multiple tasks in a fast-paced environment.
- Excellent written and verbal English communication skills and ability to work effectively in a team.
Nice to Have
- Background in US healthcare or another data-driven industry.
Compensation and Benefits
- Competitive compensation package with medical insurance.
- Catered lunch, recreational perks, daycare/creche facility, corporate wellness programs, cellphone and Wi-Fi reimbursement, parental leave, sabbatical leave, and annual sponsored health check-ups.
Skills
SQL, Excel, Google Sheets, Data Analysis, Data Validation, AI Tools, Data Privacy, Data Quality, Data Merging, Healthcare Data
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