| Healthcare Data Analyst at Chicago, IL - Only USC, GC, GC EAD at Chicago, Illinois, USA |
| Email: [email protected] |
|
From: Devyani Kumari, Absolute IT [email protected] Reply to: [email protected] Healthcare Data Analyst Location: Chicago, IL Nonlocals who will relocate and work onsite are okay, but Local candidates are strongly preferred!! If a candidate is LOCAL then Proof of location is required to submit. No Utility or Wifi Bills. DL is required or a real time picture of mailing address on mail. Length: Long-term Shift: Onsite/Hybrid Job Description: The ideal candidate will have a strong background in health informatics, complex data analysis, and workforce modelling, with a proven track record of driving impactful change within healthcare organizations. You will play a critical role in delivering insights that inform decision-making and foster improvements in patient care and operational efficiency. Key Responsibilities: Lead analytical modelling and complex data analysis projects across the HLS landscape (including international healthcare) Develop and implement demand, capacity, and performance models to optimize patient flow, manage waiting lists, and inform national pricing strategies. Collaborate closely with stakeholders at all levels, including clinical and service leads, to understand and address analytics-driven challenges. Facilitate large-scale workshops and conduct comprehensive interviews to gather input from various stakeholders for the purpose of data collection and analysis. Mentor and coach clients and junior team members to enhance their analytical capabilities and foster a culture of sustainable change. Design and execute engagement projects, such as workforce modelling for certain pathways and other healthcare services with a focus on delivering clear insights and actionable recommendations. Present key findings and insights tailored to diverse audiences, ensuring clarity and impact of communication. Years of experience: 5-10 years operational management experience within the health service and/or management consultancy within the healthcare sector Qualifications: Proven experience in data science, with a focus on healthcare analytics and business intelligence. Strong analytical skills with expertise in complex data analysis, demand, capacity, and performance modelling. Experience in health informatics Demonstrated ability to engage and communicate effectively with stakeholders at all organizational levels. Passion for delivering sustainable results and making a real difference in healthcare outcomes. A strong work ethic and values-driven approach to projects that offer lasting value and impact. Prior experience working on high-profile projects within the HLS, including theatre (OR) capacity management and COVID-19 impact assessments. Experience leading analytical and modelling efforts for cancer pathways and workforce needs, ideally in collaboration with cancer alliances or similar organizations. General Demonstrated ability to deliver successful transformation programs across a variety of healthcare systems and providers Analysis and problem solving strong knowledge of Microsoft Excel and able to translate personal experience and knowledge into approaches and solutions to client problems Project management able to work within formal project and change management disciplines, excellent attention to detail to ensure the high quality of work stream outputs Communication - aptitude to engage and influence client staff while ensuring clarity and impact, in both verbal and written communication Effective teamwork - able to work effectively as part of a team and, on occasions, lead a small team, knowing when and how to contribute specialist input for maximum impact Stakeholder Management capable of building strong, expertise and trust-based relationships with trust staff and through this drive tangible improvements in productivity Keywords: information technology Illinois Healthcare Data Analyst at Chicago, IL - Only USC, GC, GC EAD [email protected] |
| [email protected] View All |
| 07:25 PM 20-Nov-24 |