Data Analyst

The Business Data Analyst will support healthcare analytics, reporting, and business operations by analyzing health plan and provider-related data, developing dashboards and reports, validating data accuracy, and translating business needs into actionable insights., * Analyze health plan, provider, facility, claims, enrollment, and operational data.

• Develop and maintain dashboards, recurring reports, and ad hoc analyses.
• Use SQL to query, join, transform, and analyze complex relational datasets.
• Use Excel and Power BI or similar BI tools to support reporting and decision-making.
• Apply Python for data analysis, transformation, or reporting automation.
• Perform data validation, quality checks, reconciliation, and troubleshooting.
• Gather requirements and translate business questions into analytical solutions.
• Partner with business, operations, and technical teams to deliver reporting solutions.
• Identify process improvements and opportunities for automation.
• Document analytical methods, reporting logic, and business requirements.
• Communicate findings clearly to both technical and nontechnical stakeholders.

The ideal candidate has direct health plan or payer analytics experience, strong technical reporting skills, and the ability to collaborate effectively with cross-functional stakeholders in a matrixed environment., * Direct health plan, payer, or health insurance analytics experience - the hiring manager’s top priority.

• Strong SQL skills and experience working with complex relational data.
• Advanced Excel and experience with Power BI, Tableau, or a similar BI platform.
• Working knowledge of Python for analytics or automation.
• Experience with data validation, quality assurance, and reporting accuracy.
• Strong analytical thinking, problem-solving, and attention to detail.
• Demonstrated ability to collaborate across teams, gather requirements, and manage stakeholder expectations.
• Ability to explain past projects clearly, including personal contributions, methodology, tools used, and measurable outcomes.

Preferred experience

• Medicaid, Medicare, managed care, or health insurance operations.
• Claims and encounter data, enrollment, provider networks, or facility data.
• Provider contracting, network operations, or reimbursement analytics.
• Healthcare quality metrics, regulatory reporting, or performance dashboards. xrbllit
• Workflow automation and process improvement.