Senior Analyst – Healthcare Insights, Quality

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧐 Analista

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Vālenz® Health

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2004

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A Vālenz® Health é uma provedora de soluções abrangentes para planos de saúde que oferece uma plataforma totalmente integrada, projetada para simplificar as complexidades do setor de saúde para empregadores, pagadores, provedores e membros. A empresa foca em aumentar a qualidade e reduzir custos por meio de insights baseados em dados, navegação para membros, redes de provedores e gestão robusta de sinistros. Ao conectar diversos stakeholders no ecossistema de saúde, a Vālenz busca melhorar os resultados de saúde e otimizar a experiência de saúde para todos os envolvidos.

Descrição

• 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. • Own the development, production, validation, secure delivery, and ongoing support of outbound pharmacy data extracts for multiple vendors through SFTP and other approved data exchange methods. • 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.

🎯 Requisitos

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics) or equivalent professional experience. • 7+ 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. • Spark & Databricks: Hands-on experience with large-scale data processing and distributed computing frameworks. • Outbound data extracts and secure data exchange: Experience creating, validating, automating, and monitoring recurring vendor data extracts and delivering files securely through SFTP or comparable approved methods.

🏖️ Benefícios

• 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