Clinical Data Analyst
Role Overview
Serves as KANA’s lead healthcare data analytics and reporting resource, independently managing clinical, quality, and operational data.
Uses data insights to support organizational performance, quality improvement, accreditation readiness, regulatory reporting, and strategic decisions.
Key Skills for This Role
Full Job Posting
Position overview
Serves as KANA’s lead healthcare data analytics and reporting resource, independently managing clinical, quality, and operational data.
Uses data insights to support organizational performance, quality improvement, accreditation readiness, regulatory reporting, and strategic decisions.
Responsibilities
- Advise stakeholders on outcomes, trends, and system issues affecting data collection, reporting, compliance, and performance improvement.
- Produce and maintain dashboards and internal operational reports; create customized reports with Health Department stakeholders.
- Use EHR systems, population health platforms, databases, and other applications to report organizational outcomes.
- Lead retrieval, validation, and storage of quality, clinical, and operational data.
- Support grant reporting, accreditation activities, operational reporting, and ad hoc data requests.
- Build custom EHR reporting tools to extract, validate, and integrate data for Power BI.
- Establish quality assurance for scheduling, registration, clinical documentation, provider productivity, and operational performance.
- Generate and present reports for organizational performance and quality improvement.
- Coordinate with ANTHC and other partners to validate population health management software.
Qualifications
- Bachelor’s degree or equivalent in statistics, data analytics, data science, health information management, or another health-related field, or an equivalent combination of education and experience.
- Demonstrated healthcare data analytics and data quality management experience.
- At least three years of Power BI experience, including DAX, M, and SQL coding; data transformation, dashboards, and query writing for large datasets.
- Advanced Microsoft Excel skills and experience building exportable, shareable custom reports in EHR systems.
- Strong organization, attention to detail, accuracy, analytical and problem-solving skills, and ability to manage competing deadlines.
Work schedule
- Standard schedule is 37.5 working hours per week: 7.5 paid hours per day plus a one-hour unpaid lunch break, with 8.5 hours on site per day.
Benefits and perks
- Benefits include a 401(k) employer contribution, paid parental leave, medical, dental and vision coverage, paid time off and holidays, insurance, gym membership, tuition assistance, and potential role-dependent loan repayment or temporary housing assistance.
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