Remote Healthcare Data Analytics Director AI & Policy

ISHE

Reston, Northern (VA, KY)

Hybrid

USD 135,000 - 231,000

Full time

6 days ago
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Benefits offered by this job

Telecommuter Policy
Comprehensive benefits
Incentive programs
Equity stock purchase
401k contribution

Job summary

OptumCare seeks a senior data analyst to lead quantitative analyses informing Medicare and Medicaid payment designs. You will build client relationships, design calculations, and guide teams in data processing and AI-enabled workflows.

The role requires 8+ years with SQL/Python/R or SAS, and experience with Snowflake/Databricks. Remote work nationwide with in-office days in DC/Minneapolis as per policy, and a comprehensive benefits package.

Qualifications

  • 8+ years of experience using SQL, Python, R or SAS in a research, consulting, or business environment.
  • 6+ years of experience working on federal health policy issues, including Medicare and Medicaid value-based payment.
  • Experience working with Medicare or Medicaid healthcare claims and enrollment data.
  • Experience working with and advising clients.
  • Experience in managing personnel.
  • Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Experience managing and working directly with teams operating in Snowflake and/or Databricks environments.
  • Experience incorporating AI into technical workflows.
  • Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients.

Responsibilities

  • Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models.
  • Develop strategic working relationships with clients.
  • Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs.
  • Efficiently query large databases of healthcare claims and eligibility data.
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
  • Mentor other staff to develop their technical and analytical problem-solving skills.
  • Write detailed specifications and documentation of data processing and analytical steps.
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures.
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks.
  • Work effectively and cooperatively as a member of a project team.
  • Help to oversee adoption of artificial intelligence into technical activities.

Skills

SQL
Python
R/SAS

Tools

Snowflake
Databricks
GitHub

Job description

OptumCare seeks a senior data analyst to lead quantitative analyses informing Medicare and Medicaid payment designs. You will build client relationships, design calculations, and guide teams in data processing and AI-enabled workflows.

The role requires 8+ years with SQL/Python/R or SAS, and experience with Snowflake/Databricks. Remote work nationwide with in-office days in DC/Minneapolis as per policy, and a comprehensive benefits package.

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