Senior Analyst – Healthcare Insights, Quality

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧐 Analyste

👻 Score fantôme 12%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Vālenz® Health

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2004

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Vālenz® Health est un fournisseur complet de solutions de plans de santé qui propose une plateforme entièrement intégrée, conçue pour simplifier les complexités des soins de santé pour les employeurs, les payeurs, les prestataires et les membres. L'entreprise se concentre sur l'amélioration de la qualité et la réduction des coûts grâce à des analyses basées sur les données, la navigation des membres, les réseaux de prestataires et une gestion robuste des réclamations. En connectant divers intervenants de l'écosystème de la santé, Vālenz vise à améliorer les résultats de santé et à rationaliser l'expérience des soins pour tous les participants.

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. • 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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