Healthcare Data Analyst

About Pasito

Pasito uses data and AI to engage people with their health and financial employee benefits. We integrate payroll, financial, and claims data to personalize employee benefits support and proactively reach employees with benefits communications that drive cost savings for them and their employers.

Pasito is backed by Y Combinator and Google.

Healthcare Data Analyst

We are looking for a Healthcare Data Analyst consultant to collaborate closely with Pasito’s Product and Engineering teams. This is an exciting opportunity to work with leading AI engineers disrupting healthcare for the benefit of families and employees around the country. Pasito is open to structuring a full-time role for the right candidate.

As a Health Data Analyst, you will:

• Review and analyze historical medical claims, accurately mapping CPT codes to specific services, procedures, and diagnoses.
• Identify trends and patterns in claims data to understand population health, healthcare utilization and cost drivers.
• Utilize predictive modeling and data analytics techniques to forecast future claims expenses and estimate the impact of various healthcare scenarios, and work closely with Pasito’s engineering team to scale your models.
• Provide data-driven insights and recommendations for managing claims expenses effectively.
• Monitor the effectiveness of cost-saving strategies.
• Build-out real-time reporting (both tabular and visual)
• Work with engineering teams to streamline data collection and data cleansing
• Communicate complex healthcare data and findings to non-technical stakeholders in a clear and understandable manner.
• Create and maintain documentation for data processes and analysis.
• Support the company's sales and marketing efforts with data analytics.

Technical & Interpersonal Skills

• Bachelor’s degree in Actuarial Science, Mathematics, other physical science, or related finance/business degree required
• 5+ years of relevant, professional work experience and/or education required
• Comprehensive understanding of actuarial principles and methodologies and strong mathematical and analytical skills required
• Comprehensive knowledge of the U.S. benefits landscape, US healthcare and/or US insurance landscape
• Proficiency with relational databases, data architecture, data visualization tools and libraries.
• Knowledge of machine learning techniques and algorithms.
• Excellent English communication skills, both written and verbal.
• Self-motivated and able to work both independently and collaboratively in a fast-paced environment.

Location

• Remote