Staff Data Analyst - Job Opportunity at Pearl Health

Remote, US
Full-time
Senior
Posted: April 1, 2025
Remote
USD 160,000-180,000 per year

Benefits

Competitive benefits package
Annual discretionary bonus
Remote work flexibility
Healthcare coverage

Key Responsibilities

Lead development of data analytics infrastructure and pipelines
Drive data-informed decisions impacting clinical outcomes and P&L
Design and maintain data pipelines in Snowflake & dbt
Establish data architectures and governance processes
Mentor other data analysts
Partner with cross-functional teams on complex projects
Contribute to data analytics strategy and roadmap
Evaluate new data technologies and tools

Requirements

Education

Bachelor's or Master's degree in a quantitative field

Experience

8+ years of experience in delivering business analytics

Required Skills

Expert SQL and Python proficiency Snowflake PySpark DBT AWS cloud architectures Data pipeline development Schema design Data visualization Communication and presentation skills Terraform (plus) Healthcare or insurance experience (preferred)
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Sauge AI Market Intelligence

Industry Trends

Healthcare analytics is experiencing rapid growth due to value-based care adoption and Medicare transformation initiatives Increased demand for data professionals who can bridge technical expertise with healthcare domain knowledge Rising importance of real-time analytics and predictive modeling in primary care settings

Salary Evaluation

The offered salary range of $160,000-$180,000 is competitive for a senior data analyst role in healthcare technology, particularly given the remote nature and startup environment. This positions the role in the upper quartile for similar positions, reflecting the senior level and specialized healthcare focus.

Role Significance

Likely part of a data team of 5-10 professionals, with dotted-line relationships to product and engineering teams
Senior individual contributor role with significant technical leadership responsibilities and strategic input into data architecture decisions

Key Projects

Healthcare cost analysis and optimization initiatives Provider performance analytics platforms Patient outcome prediction models Value-based care analytics infrastructure

Success Factors

Deep understanding of healthcare data structures and regulatory environment Ability to balance technical excellence with business impact Strong mentorship and communication capabilities Experience with modern data stack and cloud architectures

Market Demand

Very high demand, driven by healthcare digital transformation and the growing intersection of data analytics with value-based care models

Important Skills

Critical Skills

Healthcare data modeling expertise - essential for understanding complex healthcare relationships Advanced SQL and Python - core to building robust data pipelines Data architecture design - fundamental to scaling analytics infrastructure Communication skills - critical for cross-functional effectiveness

Beneficial Skills

Cloud cost optimization Machine learning operations Healthcare regulatory compliance Performance optimization Data governance frameworks

Unique Aspects

Rare combination of healthcare domain focus with advanced data infrastructure work
Opportunity to influence healthcare delivery models through data analytics
Direct impact on primary care transformation
Balance of technical depth with business impact

Career Growth

2-3 years in role before advancement, depending on company growth and individual impact

Potential Next Roles

Lead Data Architect Analytics Engineering Manager Director of Data Strategy Head of Healthcare Analytics

Company Overview

Pearl Health

Venture-backed healthcare technology company focused on enabling value-based care through technology and analytics

Well-positioned startup with strong investor backing (Andreessen Horowitz, Viking Global) and rapid market expansion across 44 states
National presence with remote-first culture enabling broad talent access
Fast-paced startup environment with strong emphasis on healthcare innovation and data-driven decision making
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