Senior Healthcare Data Analyst

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October 15

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Vālenz® Health

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Healthcare Insurance • Fintech • SaaS

Vālenz® Health is a comprehensive health plan solutions provider that offers a fully integrated platform designed to simplify the complexities of healthcare for employers, payers, providers, and members. The company focuses on enhancing quality and lowering costs through data-driven insights, member navigation, provider networks, and robust claims management. By connecting various stakeholders in the healthcare ecosystem, Vālenz aims to improve health outcomes and streamline the healthcare experience for all involved.

501 - 1000 employees

Founded 2004

⚕️ Healthcare Insurance

💳 Fintech

☁️ SaaS

📋 Description

• 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