Entry Level Data Analyst
Experian
PythonSpringSQLTableau
Senior Healthcare Data Analyst
Vālenz® Health
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
PandasPySparkPythonSparkSQL
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
- Demonstrate initiative by independently managing complex tasks while contributing to a collaborative, team-oriented environment
- Support broader strategic initiatives by delivering high-quality analysis that informs decision-making and advances organizational goals
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, with 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.
Benefits
- Competitive benefits package with generous employer subsidies
- Flexible and remote working options
- 401k with generous employer match and immediate vesting
- Personal and professional development opportunities
- Supportive family benefits, including paid leave for new family members
- Companywide philanthropic program, Valenz Communities Connection
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonSparkDatabricksdata analysisdata validationdata manipulationExcelHCPCSICD-10
Soft skills
analytical skillsproblem-solvingcritical-thinkingattention to detailorganizational skillsself-motivatedcollaborationinitiativetime managementcommunication
