Senior Healthcare Data Analyst

New

Skills

Data Visualization Power Bi Python R Sas Sql Statistical Modeling Tableau

Interwell Health is seeking a versatile and detail-oriented Senior Healthcare Data Analyst to join our dynamic Healthcare Data Analytics team. As a national leader in value-based kidney care, Interwell Health partners with physicians and leverages data-driven insights to revolutionize patient outcomes and reduce healthcare costs. In this senior role, you will analyze and interpret complex healthcare data, collaborate with clinical and operational teams, and support strategic decision-making to improve population health. This is a remote opportunity to make a significant impact in the rapidly evolving healthcare industry.

Job Overview

Lead advanced analytics initiatives to support Interwell Health's mission in value-based kidney care.
Collaborate with multidisciplinary teams to transform complex healthcare data into actionable insights.
Drive improvements in patient outcomes, resource allocation, and healthcare strategies.

Key Responsibilities

Analyze large healthcare datasets, including EHRs, claims data, eligibility files, and public health databases.
Develop and implement advanced statistical models and algorithms to identify trends, risk factors, and opportunities for intervention.
Conduct population health analyses and generate actionable recommendations for healthcare strategies.
Create and maintain dashboards, reports, and visualizations for stakeholder communication.
Mentor and train junior team members, fostering knowledge sharing and team development.
Collaborate with clinical, operational, and IT staff to ensure data quality and integrity.
Stay current with healthcare analytics trends, technologies, and regulatory standards.

Required Skills & Qualifications

Bachelor’s degree in Data Science, Statistics, Public Health, Healthcare Administration, or related field.
Minimum 5 years of healthcare data analytics experience, with a focus on population health preferred.
5+ years of experience in SQL (queries, stored procedures, tuning, etc.).
Proficiency in R, Python, and/or SAS for statistical analysis.
Expertise in data visualization tools such as Tableau or Power BI.
Strong understanding of healthcare data sources and regulatory standards.
Excellent analytical, interpersonal, and problem-solving skills.
Ability to work independently and collaboratively in a fast-paced environment.
Experience in mentoring and training team members.
Knowledge of value-based care (VBC) and healthcare best practices.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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