Data Analyst

Point32Health

Point32Health, a prominent health and wellbeing organization formed from Tufts Health Plan and Harvard Pilgrim Health Care, is devoted to enhancing personalized healthcare experiences. They leverage their extensive expertise to help communities achieve healthier living through diverse health plans and tools. The Data Analyst role within the Corporate Data and Analytics team is crucial for unlocking data value and driving strategic objectives.

In this role you can expect to have the responsibilities:

• Develop analytic use cases based on business needs.
• Use programming and statistical skills to address analytic requirements.
• Apply data visualization and storytelling techniques.
• Conduct rigorous quality assurance and validation checks.
• Document and present findings clearly to stakeholders.
• Monitor business adoption of analytics and gather feedback.
• Troubleshoot and support monthly provider claims file analytics.
• Act as a liaison between corporate stakeholders and IT.
• Perform ad hoc analyses based on provider inquiries.

This role comes with the following benefits:

• Medical, dental, and vision coverage.
• Retirement plans.
• Paid time off.
• Employer-paid life and disability insurance.
• Tuition program.
• Well-being benefits.

This role requires you to have:

• Bachelor’s degree in an analytics-related field.
• 3-5 years of experience, preferably in a payer/provider setting.
• Moderate to complex analytics experience.
• Intermediate programming skills in SAS, SQL, R, or Python.
• Applied statistical experience.
• Data visualization expertise and storytelling methods.
• Strong written and oral communication skills.

You would benefit from having:

• Experience with Tableau or similar tools.
• Understanding of health insurance claims data.

Point32Health emphasizes diversity, equity, inclusion, and accessibility in its operations. They strive for inclusivity and provide cultural awareness training and engagement strategies for team leaders. They welcome applications from diverse individuals, ensuring employment consideration without discrimination.