Senior Data Analyst (Remote/Hybrid)

• Lead health analytics initiatives across areas such as claims, clinical operations, member analytics, provider performance, population health, care management, medical cost, utilization, quality, or outcomes analytics.
• Translate ambiguous healthcare and business problems into structured analytical approaches with clear metrics, hypotheses, and decision frameworks.
• Design, architect, and implement scalable, big data-driven analytics systems, reusable data assets, dashboards, insight engines, and decision-support tools.
• Work with large-scale healthcare datasets, including claims, clinical, member, provider, operational, utilization, cost, and outcomes data.
• Apply deep analytical thinking to identify patterns, root causes, risks, opportunities, and actionable insights.
• Use AI-assisted tools effectively to multiply productivity across analysis, coding, documentation, insight generation, and stakeholder communication.
• Collaborate with Data Scientists and ML teams on advanced analytics use cases, including feature design, model evaluation, business validation, and interpretation of model outputs.
• Partner with business, clinical, product, operations, finance, engineering, and technology stakeholders to ensure solutions are practical, trusted, and adopted.
• Where required, guide junior analysts by reviewing work, shaping analytical approaches, and raising delivery quality.
Role Focus: Build scalable healthcare analytics capabilities that turn complex data into trusted, actionable business and clinical insights.
- Working Arrangement: Full-time Remote or Hybrid