Vālenz® Health

Senior Healthcare Data Analyst

Vālenz® Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPandasPySparkPythonSparkSQLTableau

About the role

  • Analyze medical and pharmacy claims to develop and maintain data products that support pricing, quality, and compliance tools.
  • Apply advanced models and queries to resolve data issues, support client inquiries, and improve internal analytics tools and workflows.
  • Use tools such as SQL, Python, Spark, and Databricks to transform complex datasets into actionable insights and clear recommendations.
  • Partner with Data Engineering, Web Development, and other Analytics teams to design, deploy, and sustain complex code and workflows.
  • Collaborate with different departments to investigate and resolve ad hoc cases, addressing client-specific inquiries and internal requests with accurate, data-driven responses.
  • Follow production-level code release processes while driving the improvement and evolution of departmental workflows, analytics tools, and documentation.
  • Continuously monitor data quality and performance, identifying trends, anomalies, and opportunities for improvement.
  • Independently manage complex tasks while contributing to a collaborative, team-oriented environment and support broader strategic initiatives.
  • Perform other duties as assigned.

Requirements

  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics) or equivalent professional experience.
  • Minimum of five (5) years of data analysis experience.
  • At least three (3) years focused on healthcare claims, including work with complex and incomplete datasets.
  • Strong analytical, problem-solving, and critical-thinking skills with proven ability to uncover root causes.
  • Exceptional attention to detail with a commitment to accuracy, data validation, and quality assurance.
  • Highly organized and self-motivated, with the ability to manage multiple priorities independently while collaborating effectively with others.
  • SQL: Proficiency in querying, transforming, and validating large, complex datasets.
  • Python: Strong programming skills, including experience with data analysis and manipulation libraries (e.g., Pandas, PySpark) and automation of workflows.
  • Knowledge of medical and pharmacy claims data, including coding standards (HCPCS, ICD-10, NDC) and reference datasets.
  • Proficiency using Excel for validation, reporting, and quick analysis.
  • US-based location and ability to comply with company policies such as HIPAA.
  • Willingness to follow production-level code release processes and departmental documentation.
  • A plus if you have: Master's degree; experience in pharmacy claims; Spark & Databricks; Cloud platforms (AWS, Azure, GCP); Data visualization tools (Power BI, Tableau); Version control (Git) and CI/CD.