Senior Healthcare Data Analyst – AI & Benchmarking Analytics

Casado; Brazil; On-site; BRL 180,000 - 240,000; Full time

Job summary

Casado is seeking a Senior Healthcare Data Analyst to drive advanced analytics in AI and benchmarking across healthcare datasets. You will develop robust datasets, models, and dashboards, collaborating with Data Engineering, AI/ML, Product, and Business teams to translate data into strategic insights.

The role emphasizes building reusable analytical frameworks, quality control, and standardized reporting to support data-driven decision making and performance improvements.

Qualifications

• 5+ years of experience in healthcare data analytics.
• Strong SQL and Python proficiency.
• Experience with BI tools (Power BI) and dashboards.
• Experience with AWS and cloud data services.

Responsibilities

• Analyze large healthcare datasets including claims, clinical, and operational data.
• Develop benchmarking and risk-adjusted performance metrics.
• Perform cohort and peer-group analyses.
• 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 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.

Skills

AWS Advanced

SQL Queries

Python

Power BI

Data Analysis

Dimensional Modeling

Azure Databricks

Data Quality

Healthcare Analytics

Job description

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?

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

Key Skills:

• AWS – advanced
• SQL / Data Querying
• Python
• Power BI or similar BI tools
• Data Analysis & Statistical Methods
• Analytical / Dimensional Data Modeling
• Azure Databricks
• Data Quality & Validation
• Healthcare Data Analytics

Nice to have:

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