Sr Healthcare/Clinical Data Analytics Lead
J
JobgetherHealthcare analytics
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least five years of experience in analytics, business intelligence, or a related discipline. Preferred: At least eight years of experience in analytics or business intelligence.
- Required Skills
- Project ManagementPythonSQLMicrosoft Power BITableauR
Requirements
- Bachelor’s degree in a relevant field.
- At least five years of experience in analytics, business intelligence, or a related discipline.
- Experience with at least one programming or analytical language, such as R, Python, or SAS.
- Proficiency in SQL for data retrieval, querying, and analysis.
- Understanding of relational database structures and data organization.
- Demonstrated project management experience, including coordinating deliverables, managing deadlines, and resolving project challenges.
- Strong analytical, critical-thinking, and problem-solving skills, with the ability to turn complex data into actionable recommendations.
- Written, verbal, presentation, and data storytelling skills for communicating with technical and non-technical audiences.
- Ability to collaborate across clinical, operational, financial, and business teams while managing multiple priorities.
- Preferred: At least eight years of experience in analytics or business intelligence.
- Preferred: Experience with Qlik, Tableau, or Power BI; familiarity with dbt, Informatica, or SSIS; and experience as a data analyst in healthcare.
- Preferred: Familiarity with clinical, hospital, or financial applications and information systems, and a master’s degree in a relevant field.
Responsibilities
- Partner with clinical teams and business stakeholders to gather requirements, define metrics, retrieve data, and validate analytical results.
- Apply analytical and statistical methods to assess clinical practices, process performance, patient outcomes, financial results, and resource utilization.
- Develop dashboards, reports, and business intelligence tools to measure operational processes and clinical outcomes.
- Evaluate information systems and how their outputs contribute to the data development lifecycle.
- Advise on data modeling, testing frameworks, and documentation standards to improve data quality and analytical reliability.
- Translate findings into presentations and communications tailored to different audiences and business needs.
- Coordinate projects from definition through completion, including scope, responsibilities, deadlines, and progress monitoring.
- Identify project risks and obstacles, develop solutions, and keep work aligned with objectives.
- Define and implement data-driven strategies and processes to improve organizational performance and analytical effectiveness.
- Train and mentor team members, share technical knowledge, and provide analytical guidance to stakeholders.
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