Data Analyst

Point32Health - Canton, MA

Full-time - Mid Level

Remote - Canton, MA

Insurance Carriers and Related Activities

About the position

Point32Health is seeking a motivated Data Analyst to join their Provider Reimbursement analytics team. This role is crucial within the Corporate Data and Analytics organization, focusing on delivering insights on business performance through the analysis of claims data and reimbursement methodologies. The Data Analyst will contribute to financial stability, compliance, and operational capability by evaluating provider-specific reimbursements and generating detailed analytics.

Responsibilities

• Generate detailed analytics focusing on medical cost, reimbursement trends, and market position from a provider perspective across business lines and products.
• Utilize knowledge of managed care financing and reimbursement methodologies to assess financial performance.
• Develop SAS and/or SQL queries, Excel pivot tables, and other analytic tools to summarize results.
• Produce regulatory submissions for evaluating provider cost trends.
• Conduct analyses to identify gaps, variations, and key performance indicators of reimbursement trends.
• Critique analytic methodologies and studies to demonstrate problem-solving aptitude.
• Develop analytic use cases that capture business needs accurately.
• Apply QA rigor through peer review and external validation sources.
• Document methodologies for analyses and deliverables.
• Meet assigned timelines and escalate risks/barriers as needed.
• Establish strong business relationships and interface collaboratively with stakeholders.

Requirements

• Bachelor's degree in an analytics-related field; Master's degree preferred.
• 3-5 years of experience in a payer/provider setting.
• Moderate to complex analytics experience, including aggregation, normalization, and validation.
• Intermediate programming skills in SAS and SQL.
• Experience with health insurance claims data preferred.
• Strong passion for data and problem-solving.
• Ability to simplify complex scenarios into key takeaways and drill down into details.
• Proficiency in SAS and/or SQL programming for data manipulation and analysis.
• Advanced Excel skills for manipulating large data sets and creating reports.
• Demonstrated ability to manage tasks independently and meet deadlines.
• Strong written and oral communication skills.

Benefits

• Medical, dental and vision coverage
• Retirement plans
• Paid time off
• Employer-paid life and disability insurance with additional buy-up coverage options
• Tuition program
• Well-being benefits
• Full suite of benefits to support career development, individual & family health, and financial health