BC SECTOR Health Senior-Health Data and Analytics

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 problemsolving 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 datadriven 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

• 37 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 AIenabled 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).