Senior Healthcare Data Analyst – AI & Benchmarking Analytics

FPT Latin America; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

FPT Latin America is seeking a Senior Healthcare Data Analyst to transform large healthcare data into actionable business insights. The role focuses on benchmarking methodologies, performance metrics, BI reporting, and AI-enabled analytics.

You will collaborate with Data Engineering, AI/ML, Product, and Business teams to develop analytical frameworks and standardized reporting practices, delivering robust dashboards and data models to empower data-driven decisions.

Qualificações

• Experience in healthcare analytics and BI reporting.
• Ability to develop benchmarking and risk-adjusted performance metrics.
• Proficient in analytical storytelling and data visualization.

Responsabilidades

• Analyze large healthcare datasets (claims, clinical, operational).
• Develop benchmarking and risk-adjusted performance metrics.
• Perform cohort and peer-group analysis.
• Build analytical datasets and data models for reporting and self-service analytics.
• Develop dashboards and reports using Power BI or similar BI tools.
• Support AI/ML use cases by preparing datasets and interpreting model outputs.
• Investigate data quality issues and metric discrepancies.
• Partner with Data Engineering, AI/ML, Product, and Business teams.
• Develop reusable analytical frameworks and standardized reporting practices.
• Analytical / Dimensional Data Modeling.
• Data Quality & Validation.

Conhecimentos

Healthcare Analytics

Ferramentas

Power BI

Descrição da oferta de emprego

We’re Hiring: Senior Healthcare Data Analyst – AI & Benchmarking Analytics!!!

Are you a data professional with strong Healthcare Analytics experience and a passion for turning complex data into actionable business insights?

We’re looking for a Senior Healthcare Data Analyst to work on healthcare datasets, benchmarking methodologies, performance metrics, BI reporting, and AI-enabled analytics.

What you’ll work on:

• Analyze large healthcare datasets, including claims, clinical, and operational data
• Develop benchmarking and risk-adjusted performance metrics
• Perform cohort and peer-group analysis
• Build analytical datasets and data models for reporting and self-service analytics
• Develop dashboards and reports using Power BI or similar BI tools
• Support AI/ML use cases by preparing datasets and interpreting model outputs
• Investigate data quality issues and metric discrepancies
• Partner with Data Engineering, AI/ML, Product, and Business teams
• Develop reusable analytical frameworks and standardized reporting practices
• Analytical / Dimensional Data Modeling
• Data Quality & Validation

Nice to have:

Experience with healthcare claims, RAF/risk adjustment, quality metrics, provider performance, population health, benchmarking, or AI/ML analytics.