Data Analyst, Risk Adjustment

About Our Client

Our client is a data logistics company for the healthcare industry, focused on enabling the secure movement and connection of data. The team is highly collaborative and remote-first, passionate about driving transformative change in healthcare.

About The Role

The hiring company is looking for a detail-oriented and passionate data scientist to join its expanding team within the Payer Solutions department.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights about digital use case expansion opportunities and program impacts.
• Run various risk adjustment models for Medicare Advantage, Medicaid, or ACA to forecast patient risk scores and return on investment based on historical data and project variables.
• Collaborate with cross-functional teams, including clients, to understand business needs and determine the right methodology for analysis and assumptions.
• Generate clear and concise reports to communicate findings and insights to both technical and non-technical stakeholders.
• Stay updated on industry trends, new technologies, and methodologies to enhance the team's analytical capabilities.

Requirements

• Proficiency in using statistical analysis tools and programming languages (e.g., SAS, Python, R) for data analysis and modeling.
• Experience in Medicare Advantage, Affordable Care Act (ACA), or Medicaid Risk Adjustment calculation models is preferred.
• Strong problem-solving skills and the ability to think critically to provide data-driven solutions.
• Expertise in data cleaning, preprocessing, manipulation, integration, processing, and interrogation of large datasets.
• Strong understanding of statistical probability distributions, bias, error, and power, as well as sampling and resampling methods.
• Exceptional initiative, ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity.
• Excellent communication and time management skills.
• Relevant university degree or equivalent training and 2+ years of work experience as a data scientist or data engineer.

Bonus Skills

• Understanding of effective data privacy and security methods and awareness of relevant legislation.
• Experience with cloud services for storage and computing.
• Familiarity with machine learning algorithms.
• Knowledgeable in health plan operations and reporting.

Salary Range

The estimated salary range for this role is $150,000 - $170,000.