Analytics Engineer (Healthcare)

TL;DR

Analytics Engineer (SQL/dbt): Transforming curated data into clear, consistent, and analytics-ready data models with an accent on the semantic layer and dimensional modeling. Focus on designing facts and dimensions, implementing business logic, and optimizing data for BI tools and downstream consumers.

Location: Remote (USA). Candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.

Salary: $84,000 - $144,900

Company

A leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups.

What you will do

• Design, build, and maintain analytics-ready data models, including facts, dimensions, and data marts.
• Develop and manage transformations in the semantic and transformation layer using SQL-based tooling.
• Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards and reports.
• Partner with product, operations, and finance stakeholders to translate business requirements into well-defined data models.
• Optimize data models for clarity, usability, and performance for analysts and self-service BI users.
• Implement data quality checks and testing at the analytics layer to ensure accuracy and reliability.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or equivalent experience.
• 2+ years of experience in analytics engineering, business intelligence, or a related role.
• 2+ years of experience working with Healthcare data, specifically Revenue Cycle data.
• Advanced SQL expertise and hands-on experience with dbt.
• Strong understanding of dimensional modeling, metrics design, and semantic layer concepts.
• Must be based in the USA.

Nice to have

• Openness to innovating with AI to explore better processes and improve patient and client experiences.

Culture & Benefits

• Comprehensive benefits package including healthcare, time off, retirement, and well-being programs.
• Investment in professional development, including relevant field certifications and tuition reimbursement.
• Quarterly and annual incentive programs for high-performing employees.
• Culture rooted in collaboration, growth, and innovation with a focus on people-first values.
• Award-winning remote work environment (Monster Top Workplace for Remote Work 2024).