Swooped

Data Analyst, Risk Adjustment

Job description

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.

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