> Markdown version of [/jobs/ext/4284525-data-analyst](https://www.wearedevelopers.com/jobs/ext/4284525-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** MEDSIGHTAI LLC - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Health Informatics, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Electronic Medical Records, Information Technology, Health Level Seven International - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-analyst--62094953-8b80-4710-a417-fbc6bb151f54 ## About the Role Data Analysis, Data Science, Data Analysis, Hospital Systems, Operational Strategy, Patient Care, Cross-Functional, Healthcare, Hospital, Artificial Intelligence (AI), * Bachelor's degree in Data Science, Statistics, Computer Science, Healthcare Informatics, or related field. * Proven experience as a Data Analyst, preferably in the Hospital & Health Care industry. * Strong proficiency in data analysis tools such as SQL, Python, R, and data visualization software like Tableau or Power BI. * Familiarity with healthcare data standards and electronic health records (EHR) systems. * Excellent analytical thinking, problem-solving skills, and attention to detail. * Effective communication skills with the ability to explain complex data insights to diverse audiences. * Ability to work collaboratively in a fast-paced, team-oriented environment and manage multiple tasks concurrently. ## Description * Collect, clean, and analyze healthcare data from various hospital sources and electronic health records. * Develop and maintain dashboards and reports to provide actionable insights to clinical and administrative teams. * Collaborate with multidisciplinary teams to identify data needs and translate business requirements into analytical solutions. * Perform statistical analysis and predictive modeling to support patient outcome improvement initiatives. * Ensure data accuracy and integrity by establishing effective monitoring and validation procedures. * Communicate complex data findings clearly and effectively to non-technical stakeholders through visualizations and presentations. * Stay up-to-date with the latest data analytics tools, techniques, and healthcare industry trends to continuously enhance data processes.