Senior Health Data Analyst – Payer

🕒 Fevereiro 18

🍂 Massachusetts – Remoto

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💵 $80.000 - $125.000 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 10%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Veeva Systems

Veeva Systems

1001 - 5000 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A Veeva Systems Inc. é líder em software em nuvem para a indústria global de ciências da vida. Comprometida com a inovação, a excelência de produto e o sucesso do cliente, a Veeva atende a mais de 875 clientes, desde as maiores empresas farmacêuticas do mundo até biotechs emergentes. A Veeva tem sede na região da Baía de São Francisco, com escritórios no Canadá, Europa, Ásia e América Latina. A Veeva está crescendo para 10.000 colaboradores até 2025; visite a seção de Vagas para conferir as oportunidades abertas e lembre-se de que as comunicações com novos candidatos e candidatos em processo virão apenas de um endereço oficial @veeva.com.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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

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