Healthcare Data Analyst
Posted
Jul 14, 2026 (Yesterday)
Seniority
Not Specified
Work Model
Not Specified
Type
Not Specified
Category
Salary
Not specified
Skills
Description
Why Visionairy Visionairy is building the clinical intelligence layer for eye care. Our platform reads clinical notes and surfaces coding errors, clinical insights, and operational opportunities to increase practice revenue and improve care. We've raised venture capital funding and are live with several of the largest eye care groups in the country. Our founder is a Yale-trained ophthalmologist who has a deep understanding of the space, and our software engineers are top performers from Princeton, Stanford, and McGill. Description of the role We're looking for a Healthcare Data Analyst to own the quality of client data as it enters our platform. You'll review incoming data from new clients’ EMR and PM systems, clean and validate it in SQL, and ensure it's accurate and well-structured before it moves into downstream processing. This is an integral role in ensuring success for all of our partners. Responsibilities Review and clean new client data as it’s imported from EMR and PM systems Identify and resolve data quality issues such as incomplete or inconsistent records Write SQL queries and Python scripts to validate data at scale and resolve outstanding issues Partner with integration and product engineers to flag recurring source-data problems and accelerate client onboarding Must-haves 1–3 years in a data analyst, data engineering, or similar role Strong SQL skills and working knowledge of Python Experience working with EMR and/or practice management systems Strong attention to detail and ability to troubleshoot unfamiliar, messy datasets Comfortable working in a high-growth startup environment Nice to have Experience with Nextech or NextGen Experience with GCP, particularly BigQuery What we offer Health, dental, and vision plans 401(k) plan Visionairy is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
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