Manager, Healthcare Analytics

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Team Leadership and Development: Lead, mentor, and develop a team of analysts, fostering analytical excellence, collaboration, accountability, and continuous professional growth.

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Product Strategy and Collaboration: Partner with Product teams and key stakeholders to identify business needs, define analytical requirements, and prioritize initiatives that support new product development.

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Data-Driven Solution Development: Collaborate with Data Engineering and Application Development teams to design, develop, and implement analytics solutions that translate healthcare data into practical business outcomes.

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Healthcare Data Analysis: Leverage medical claims data and other relevant datasets to generate meaningful insights, identify trends, and support product innovation and performance improvement.

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Data Quality and Integrity: Establish and maintain rigorous validation practices to ensure analytical accuracy, data consistency, and the reliability of deliverables.

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Process Optimization: Identify opportunities to improve analytical workflows, streamline operations, and increase team productivity and efficiency.

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Technology and Best Practices: Promote high standards in analytics development, data management, and technical processes while staying informed about emerging technologies and industry developments.

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Stakeholder Communication: Present analytical findings, project updates, and recommendations clearly, adapting communication to the technical knowledge and priorities of different audiences.

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Project Management and Tracking: Oversee project tracking tools, including Azure DevOps and Salesforce, to monitor progress, coordinate deliverables, and support successful product implementation.

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Customer-Centric Innovation: Ensure that analytical initiatives and product solutions reflect customer needs and contribute to improved healthcare cost management, quality, access, and utilization.

Requirements

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Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

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Professional Experience: At least 5 years of experience in analytics, including a minimum of 2 years in a supervisory or people management role.

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Healthcare Data Expertise: Demonstrated experience working with medical claims data, with the ability to interpret complex healthcare datasets and translate findings into actionable insights.

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Python Programming: Practical experience using Python for data analysis, analytical workflows, or related data-driven applications.

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SQL Server: Proficiency in SQL Server for querying, analyzing, and managing data.

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Business Intelligence: Familiarity with business intelligence and visualization tools such as Power BI, Tableau, or Looker.

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Analytical Problem-Solving: A strong track record of transforming complex data into impactful products, meaningful recommendations, and measurable business outcomes.

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Data Validation and Accuracy: Strong attention to detail and a commitment to validating results, maintaining data integrity, and ensuring analytical reliability.

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Leadership and Collaboration: Ability to guide a team, coordinate cross-functional initiatives, and build productive relationships with technical and business stakeholders.

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Organization and Time Management: Excellent planning and prioritization skills, with the ability to manage multiple projects independently and meet deadlines.

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Adaptability and Critical Thinking: A curious, self-motivated approach to problem-solving, including the ability to work effectively with incomplete, ambiguous, or evolving data.

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Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to audiences with varying levels of technical expertise.

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Preferred Qualifications: Experience with pharmacy claims data and cloud analytics platforms such as Databricks is an advantage.

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Remote Work Requirements: Must be based in the United States and have a quiet, distraction-free workspace, reliable internet access, and the ability to comply with applicable security protocols and healthcare privacy requirements, including HIPAA.

Benefits

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Fully remote work: Flexibility to work from home anywhere in the United States, subject to applicable employment and security requirements.

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Equipment provided: Necessary equipment to support your remote working environment.

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Healthcare coverage: Generously subsidized medical, dental, and vision insurance.

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Healthcare savings accounts: Access to Health Savings Accounts (HSA), Flexible Spending Accounts (FSA), and Dependent Care Flexible Spending Accounts (DCFSA).

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Retirement savings: 401(k) plan with employer matching and immediate vesting.

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Paid time off: Generous PTO, including vacation, sick leave, and paid holidays.

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Family support: Paid maternity and paternity leave.

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Employee assistance: Access to professional counseling, referrals, and additional support services through an Employee Assistance Program.

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Pet insurance: Coverage options to help support your pets' well-being.

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Employee discounts: Savings on phone plans, car rentals, computers, and other offerings.

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Community involvement: Opportunities to contribute to philanthropic initiatives, including paid time off for eligible community service activities.

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Flexible working environment: A collaborative culture that values transparency, trust, performance, inclusion, and continuous improvement.

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Meaningful impact: The opportunity to use healthcare analytics to improve cost transparency, operational efficiency, and the quality of healthcare-related products and services. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1