Senior Health Data Analyst – Payer

🕒 il y a 3 mois

🍂 Massachusetts – Distant

info

💵 $80 000 - $125 000 / an

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Veeva Systems

1001 - 5000 employés

☁️ SaaS

⚕️ Assurance santé

💊 Pharmaceutique

SaaS • Healthcare Insurance • Pharmaceuticals

Veeva Systems Inc. est un leader des logiciels cloud pour l’industrie mondiale des sciences de la vie. Animée par l’innovation, l’excellence produit et la réussite de ses clients, Veeva compte plus de 875 clients, des plus grands groupes pharmaceutiques aux biotechs émergentes. Le siège de Veeva est situé dans la région de la baie de San Francisco, avec des bureaux au Canada, en Europe, en Asie et en Amérique latine. Veeva vise 10 000 collaborateurs d’ici 2025 : consultez la section Offres d’emploi pour nos postes ouverts et notez que toute correspondance adressée aux nouveaux candidats ou aux candidats en cours ne proviendra que d’une adresse e‑mail officielle @veeva.com.

Description

• Collect and Maintain Source Data: Identify new data sources and opportunities for automation to ensure all information remains accurate and current • Analyze Data Quality: Execute ongoing quality improvement plan to refine matching process and reduce unmapped data • Establish Governance Standards: Define and maintain standards, documentation, and stewardship models for the payer data domain • Stay Current on the Payer Landscape: Track market trends, including mergers, acquisitions, and rebranding, to assess their impact on our data products • Collaborate on Platform Improvements: Partner with product managers, engineers, and analysts to build scalable, automated processes that ensure trusted data delivery

🎯 Exigences

• 4+ years working with healthcare data, with 2+ years focused on payer data (e.g., payers on claims, payment systems, formulary data) • Deep understanding of the US insurance market, including the nuanced relationships between PBMs and payers across different types of insurance coverage (e.g., Medicare, Medicaid, Commercial, Assistance Programs) • Proficient in SQL for querying, analyzing, and validating large data sets • Proven ability to identify new data sources, establish extraction best practices, and merge them into existing sets • Demonstrated experience in data governance, including the ability to create and enforce data standards and naming conventions across a pipeline • Collaborative mindset, with the ability to define data requirements across cross-functional teams

🏖️ Avantages

• Medical, dental, vision, and basic life insurance • Flexible PTO and company paid holidays • Retirement programs • 1% charitable giving program

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