Job Description

Job Summary Join our team as a Healthcare Data Analyst, where you will play a pivotal role in leveraging advanced data analytics tools and platforms to unlock valuable insights within the realm of healthcare. This position focuses on utilizing Python, SQL, Azure Machine Learning, Power BI, and Power Apps to extract, analyze, and visualize healthcare data, with a primary emphasis on advancing cancer research. We invite enthusiastic individuals with a strong foundation in data analysis and a passion for healthcare to apply and make a meaningful impact. We seek individuals committed to advancing healthcare through innovative data analysis. If you are driven by a desire to make a difference and possess the requisite expertise, we encourage you to apply and be part of our mission to revolutionize healthcare through data driven insights. Responsibilities 2. Project Collaboration:3. Quality and Compliance:4. Communication: • Data Analysis and Reporting:

• Utilize Python and SQL to extract, clean, and transform healthcare data.
• Apply Azure Machine Learning tools and techniques for comprehensive data analysis.
• Create insightful and interactive dashboards and reports using Power BI.
• Develop and manage healthcare-related applications using Power Apps.
• Collaborate cross-functionally to analyze healthcare data and provide actionable insights.
• Contribute to diverse healthcare research initiatives, with a primary focus on cancer research.
• Ensure data accuracy and adherence to healthcare data regulations and standards.
• Effectively convey data findings and insights to non-technical stakeholders, fostering informed decision-making

This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking.Often: Repetitive hand motion (such as typing), walking.Seldom: Bending, reaching overhead. Minimum Qualifications Requires a bachelor's degree in related area or equivalency (one year of education can be substituted for two years of related work experience). Two to four years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. This position is patient-sensitive and must fulfill all associated requirements. We protect our patients, coworkers, and community by requiring all patient-sensitive employees to be immunized according to CDC standards and hospital policy. Limited exemptions may be made for documented medical contraindications or religious beliefs that object to vaccinations. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description. Preferences

• Proficiency in Python for data analysis.
• Strong SQL querying abilities.
• Hands-on experience with Azure Machine Learning.
• Competency in creating dynamic data visualizations using Power BI.
• Familiarity with developing applications through Power Apps.
• Exceptional written and verbal communication skills.
• Minimum of two years practical experience in data analysis, or equivalent research exposure.

Special Instructions Requisition Number: PRN42380B Full Time or Part Time? Full Time Work Schedule Summary: Employees must reside in the state of Utah but might have the opportunity to work a hybrid (in-office and remote) work schedule. Possible consideration of a request for a fully remote work schedule, subject to approval and change. Department: 00952 - Division of Epidemiology Location: Campus Pay Rate Range: 47600 to 84249 Close Date: 10/3/2025 Open Until Filled To apply, visit Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-6bae53338bf23c4cab7e2d28042dea3e

Job Tags

Full time, Part time, Work experience placement, Work at office, Remote work,

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