We're currently seeking an Analytics Product Engineer to turn ambiguous healthcare and business questions into trusted data models and working analytical products. This role requires hands-on expertise in advanced SQL, Snowflake, dbt, React, and data analytics. You'll own the full cycle from data exploration and metric definition through modeling, validation, prototyping, and production, while partnering closely with Product and Engineering to build intuitive, data-driven experiences.
Required Skills & Experience Desired Skills & Experience• 3+ years of experience in analytics engineering, data engineering, product analytics, or a comparable technical role
• Healthcare, physician compensation, workforce, or financial analytics experience
• Experience with wRVUs, provider compensation models, productivity benchmarks, or healthcare operations
• Experience building semantic layers, metrics layers, or reusable analytical frameworks
• Python experience for data exploration, validation, automation, or pipeline work
• Experience developing percentile, cohort, peer-comparison, or benchmarking methodologies
• Experience building data-intensive SaaS products or analytical applications
• Excellent interpersonal and communication skills
• Strong analytical judgment, product judgment, and problem-solving skills
• A strong work ethic, self-starter, and ability to work independently with ambiguity
What You Will Be Doing• 50% Data / Analytics Engineering
• 50% Product Development
• 100% Hands On
• Explore, query, and transform complex datasets directly in Snowflake
• Build and maintain production dbt models for healthcare and business performance metrics
• Develop benchmarking methodologies including percentiles, peer groups, specialty comparisons, and cohorts
• Define meaningful metrics and determine how analytical insights should be presented to users
• Build lightweight HTML prototypes and develop validated concepts into functional React interfaces
• Establish strong data-quality practices through testing, documentation, validation, and reproducibility
• Use AI-assisted development tools to accelerate exploration, coding, prototyping, testing, and documentation
• Partner with Product and Engineering to move analytical products from concept to production
• Work responsibly with sensitive healthcare and compensation data while following governance, security, and access-control practices
Benefits• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) Match
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-SL13
Specialization : - Software Engineering
- Data Engineering
