Senior Healthcare Data and Analytics Consultant

BC-Sector-Health Care-Healthcare Data Analytics- Senior role

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Data & Analytics Consultant – Healthcare Domain

 

 

Role Overview

 

We are seeking a highly skilled Healthcare Data & Analytics Consultant with strong domain expertise in US healthcare (payer/provider) and sharp analytical problem‑solving capabilities.

 

The ideal candidate will bring deep understanding of healthcare operations along with hands-on experience in data analysis, forecasting, AI/ML concepts, and translating healthcare business problems into data‑driven solutions.

 

This role is ideal for someone who is healthcare-first, with analytics as a strong secondary capability.

 

 

Key Responsibilities

 

• Translate healthcare-specific business needs into clear analytical problem statements and data requirements.
• Support solution design for healthcare use cases such as risk stratification, forecasting utilization/costs, quality metrics, operational performance, and member/patient outcomes.
• Perform hands-on data exploration and validation using SQL and BI tools.
• Support analytics workstreams involving trend analysis, segmentation, KPI development, dashboards, and insight generation.
• Partner with data science teams to incorporate domain logic into AI/ML models, ensuring clinical/operational relevance.
• Work closely with cross-functional SMEs, product owners, and architecture/analytics teams to shape healthcare analytics solutions.
• Participate in requirement workshops, business discussions, and client demos.
• Conduct root cause analysis for data or process issues impacting healthcare metrics or claim outcomes.
• Prepare clear documentation: BRDs, data dictionaries, dashboards, analytical summaries, and business recommendations.

 

 

Required Skills & Qualifications

 

• 3–7 years of experience in healthcare domain roles, preferably US healthcare (payer/ provider).
• Strong understanding of claims, benefits, eligibility, care management, UM/CM, member/provider workflows.
• Hands-on experience with SQL-based data validation, datasets, and healthcare data models (claims, membership, provider, clinical).
• Strong analytical mindset with experience in basic ML/AI concepts,  forecasting or trend modelling, exploratory data analysis (EDA), KPI building and insight generation
• Excellent communication, consulting, and stakeholder engagement skills.

 

 

Preferred Qualifications

 

• Experience working with US healthcare payers, providers, or large hospital systems.
• Knowledge of healthcare regulations (HIPAA, CMS, Medicare/Medicaid, HEDIS, quality measures).
• Exposure to data science workflows, feature engineering, prediction models, or AI‑enabled decision tools.
• Experience supporting forecasting use cases such as cost forecasting, utilization forecasting, staffing/demand models, chronic condition progression, or operational prediction models.
• Familiarity with healthcare interoperability standards (FHIR, HL7).

 

 

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Experience Level

Senior Level