Data Analyst – Specialist
Vanguard
Senior Healthcare Data Analyst
Vālenz® Health
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob 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.
