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Lead Analyst

Independent Living Systems
Posted 4 days ago, valid for 8 days
Location

Miami, FL 33187, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Independent Living Systems (ILS) is looking for a Lead Analyst with at least 5 years of experience in data analysis within the healthcare or social assistance industry.
  • The role involves leading complex data analysis projects and translating findings into actionable insights to improve patient outcomes and operational efficiency.
  • Candidates should have a Bachelor's degree in Health Informatics, Public Health, Data Science, Statistics, or a related field, with proficiency in statistical software and data visualization tools.
  • The Lead Analyst will collaborate with cross-functional teams, prepare reports, and ensure compliance with healthcare regulations while mentoring junior analysts.
  • The position offers a competitive salary, commensurate with experience, and is focused on enhancing the quality of care and optimizing resource allocation in healthcare settings.

We are seeking a Lead Analyst to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.

About the Role:

The Lead Analyst in the Health Care and Social Assistance sector plays a pivotal role in driving data-informed decision-making to improve patient outcomes and operational efficiency. This position is responsible for leading complex data analysis projects, synthesizing large datasets, and translating findings into actionable insights for healthcare providers and administrators. The Lead Analyst collaborates closely with cross-functional teams including clinical staff, IT, and management to identify trends, forecast needs, and support strategic initiatives. By leveraging advanced analytical techniques and healthcare knowledge, the role ensures that data-driven strategies align with regulatory requirements and organizational goals. Ultimately, the Lead Analyst contributes to enhancing the quality of care and optimizing resource allocation within healthcare settings across the United States.

Minimum Qualifications:

  • Master’s degree in a relevant field such as Health Informatics, Biostatistics, or Public Health.
  • At least 5 years of experience in data analysis within the healthcare or social assistance industry.
  • Proficiency in statistical software and data visualization tools such as SQL, Python, R.
  • Strong understanding of healthcare data standards, regulatory requirements (e.g., HIPAA), and clinical workflows.
  • Demonstrated ability to lead projects and communicate complex analytical concepts to diverse audiences.
  • Experience with administrative claims data and healthcare quality metrics.
  • Familiarity with machine learning techniques and predictive modeling in healthcare contexts.
  • Relevant experience may substitute for the educational requirement on a year-for-year basis.

Preferred Qualifications:

  • Doctor's degree in a relevant field such as Health Informatics, Biostatistics, or Public Health.
  • Experience with electronic health record (EHR) systems and healthcare quality metrics.
  • Certification in healthcare analytics or project management (e.g., Certified Health Data Analyst, PMP).
  • Experience working in multidisciplinary teams within large healthcare organizations.

Responsibilities:

  • Lead the design, development, and implementation of analytical models to support healthcare operations and policy decisions.
  • Analyze complex healthcare datasets to identify patterns, trends, and opportunities for improvement in patient care and service delivery.
  • Collaborate with clinical teams, IT professionals, and management to gather requirements and ensure alignment of analytical outputs with organizational objectives.
  • Prepare comprehensive reports and presentations that clearly communicate findings and recommendations to both technical and non-technical stakeholders.
  • Ensure compliance with healthcare regulations and data privacy standards while managing sensitive patient and organizational data.
  • Mentor and guide junior analysts, fostering a culture of continuous learning and professional development within the analytics team.
  • Stay current with industry trends, emerging technologies, and best practices in healthcare analytics to drive innovation.





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