Senior Healthcare Data Analyst, Claims Analytics
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Job Description
Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors.
Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Location : Remote Travel Required : 2-5 Weeks Per Year We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization.
The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights.
As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis. What You’ll Do Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually. Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization. Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
Utilize advanced statistical techniques and leverage machine learning models to solve business challenges. Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes. Mentor and guide junior analysts, fostering a data-driven culture within the organization.
Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence. Quickly familia
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