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Job Description: 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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