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We are seeking a Healthcare Data Analytics Manager to join our Financial Planning & Analysis team. The position will be responsible for managing all healthcare-related data analytics and business insights. This role will work with various teams at the Community Support Office & will present actionable insights to them.
Requirements
Core Competencies:
• Good communication skills and the ability to work effectively with staff at all levels within the organization.
• Exceptional data analysis and presentation skills – ability to pull data from various sources and to create information that is useful for making business decisions.
• Familiarity with healthcare-specific predictive models and frameworks (e.g., hospital readmission models, patient flow models)
• Ability to build reports that present complex data in a digestible and actionable format for healthcare professionals
• Experience with working in a fast-paced agile environment
• Excellent analytical and problem-solving skills
• Ability to work with others in a virtual team environment
Qualifications:
Minimum of 5-8 years direct experience with 3+ years of management experience.
• Bachelor's degree in business, statistics, math, finance, economics, healthcare administration, or other related field preferred
• Working knowledge of Microsoft SQL
• ETL development and management
• Strong statistical knowledge for interpreting clinical and operational data
• Strong knowledge of Microsoft Outlook and other Office applications, especially Excel and PowerPoint
• Point Click Care, Python/R & PowerBI experience
• Experience in healthcare, insurance, or senior living industries
Responsibilities:
• Data Collection and Management:
- Oversee the collection, cleaning, and storage of healthcare data from various sources (electronic health records, billing systems, patient surveys, etc.).
- Ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) to maintain patient privacy.
• Data Integration and Transformation:
- Integrate data from disparate sources (clinical, financial, and operational) to create comprehensive datasets that can inform decision-making.
- Work on transforming raw data into a structured format that can be analyzed (using tools like SQL, Python, or ETL processes).
• Analytics and Reporting:
- Use statistical methods and data analytics tools (like Python, R, Excel, or Power BI) to analyze data and extract meaningful insights.
- Develop and automate dashboards and reports to monitor key performance indicators (KPIs) related to patient care, hospital performance, and operational efficiency.
• Predictive Analytics:
- Leverage machine learning and predictive models to forecast patient outcomes, readmission rates, or operational bottlenecks.
- Use historical data to identify trends and patterns that can help improve clinical and administrative decision-making.
Apply today and take the next step toward making a greater impact than you ever imagined!
Benefits
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