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Analytics Product Engineer

Motion Recruitment Partners, LLCCharlotte, NC🇺🇸United StatesPosted Sep 27, 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to transform complex healthcare challenges into impactful analytical products, fostering significant career growth and skill development in a reputable healthcare technology leader. You'll thrive here if you possess strong SQL, Snowflake, and dbt expertise, enjoy collaborative problem-solving, and are eager to contribute to innovative data-driven solutions. Apply today to leverage your analytical prowess and shape the future of healthcare efficiency.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
3 weeks ago
MySQLSQLSnowflakeGitHTMLPythonReactdbt

Job Description

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.
A leading software organization focused on healthcare technology is committed to helping medical groups, health systems, and healthcare organizations operate more efficiently through innovative data and analytics solutions. By simplifying complex compensation models, streamlining contract management, and providing real-time analytics, the organization empowers clients with greater data transparency and operational excellence. We're seeking individuals who are curious, independent, strong communicators, and comfortable turning complex business questions into practical technology solutions.
Required Skills & Experience
  • Advanced SQL
  • Snowflake
  • dbt
  • React
  • Data Analytics
  • Data Modeling
  • Git/GitHub
  • PR-Based Development
  • MySQL

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.
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