Analyst, Risk Stratification

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We need you to help ensure the right patients are identified and supported at the right time by our care teams. You will develop, evaluate, and enhance the analytics that power patient risk identification, event detection, and care prioritization across the Integrated Kidney Care (IKC) organization. Your work directly informs clinical workflows, resource allocation, and patient outcomes.

$56,500.00/yr - $75,000.00/yr

Posting Date 12/11/2025

• Develop, maintain, and optimize patient risk stratification logic and identification models.
• Evaluate existing risk models and processes to identify areas for improvement, increased accuracy, or operational efficiency.
• Explore new data sources and technologies to enhance patient identification and event detection capabilities.
• Analyze clinical, demographic, and utilization data to understand patterns that drive risk and future events.
• Monitor and report on the health and performance of risk stratification systems, including precision, recall, stability, and operational outcomes.

• Write SQL queries against clinical, claims, and operational data warehouses to support risk modeling, reporting, and ad‑hoc analytics.
• Build and maintain dashboards, scorecards, and summary reports to track key performance indicators related to risk identification.
• Collaborate with data engineering and product teams to ensure data availability, quality, and efficient use of analytic resources.

• Translate analytical findings into clear, actionable insights for clinical, operational, and leadership stakeholders.
• Create polished communication materials (PowerPoint, dashboards, memos) that summarize findings and recommended actions.
• Partner with stakeholders to refine requirements, define success metrics, and ensure consistent interpretation of risk metrics and patient identification workflows.

• Proactively bring forward ideas to optimize data pipelines, model inputs, model logic, and prioritization frameworks.
• Identify opportunities to automate or streamline risk identification workflows.
• Stay informed about new analytic methods, tools, and health data sources relevant to risk stratification and patient targeting.

• Strong analytical curiosity and a desire to improve processes and outcomes.
• Ability to communicate complex concepts clearly to both technical and non‑technical stakeholders.
• Excellent organizational skills and the ability to manage multiple priorities.
• Collaborative approach with strong relationship‑building skills.
• Comfort working in a dynamic environment with evolving needs and priorities.
• Self‑starter mindset with strong follow‑through.

• Bachelor’s degree in statistics, analytics, public health, operations research, or related field.
• 1–3 years of experience in analytics (healthcare preferred).

• Bachelor’s degree plus 3–5+ years of relevant analytics experience, or Master’s degree plus 2+ years of experience.
• Demonstrated experience leading analytic projects and presenting to leadership.

• Proficiency with SQL and relational databases.
• Strong understanding of statistical topics (probability, regression models, result interpretation, biases, etc.).
• Familiarity with Python, R, or other scripting languages.
• Strong Excel skills for data manipulation and analysis.
• Experience with visualization tools such as Tableau or Power BI (preferred).
• Experience working with clinical or medical claims data is a plus.

• A mission‑driven culture focused on improving patient health and outcomes.
• Opportunities for growth through training, mentorship, and cross‑functional project exposure.
• A collaborative, supportive environment that values innovation and continuous improvement.
• Experience with Tableau and/or Alteryx desired but not necessary.

• A "community first, company second" culture based on…