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The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.
As a Senior Data Engineer at Arcadia, you will develop solution architecture, automate data pipelines connecting client claim and clinical data platforms with our health solution platform, and contribute to improving data integration tools. You will participate in scrum ceremonies, code reviews, and manage multiple implementations simultaneously.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
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The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
The Learning and Development Analyst will onboard and enable the Customer Management teams through curriculum design and content creation, leveraging technology for diverse learning approaches. They will ensure effective onboarding processes and improve learning models by collaborating with stakeholders and subject matter experts.
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