Arbiter is reimagining how healthcare works - not by adding more point solutions, but by building the infrastructure that runs the system. We’re designing the intelligent operating spine that unifies data, automates workflows, and aligns incentives across providers, payers, and patients. Our platform embeds AI into real-world care and revenue cycle operations, transforming administrative chaos into orchestrated execution.
We’ve just closed one of the largest early-stage raises in health tech history - backed by some of the most influential players in the industry who collectively manage millions of lives and billions in spend. Paired with a powerhouse board and executive team, we have the capital, context, and relationships to move quicker than anyone - tackling the problems we know intimately and scaling what works. Our MVP is already live with hundreds of providers managing hundreds of thousands of lives, and improving daily based on real-world feedback.
At Arbiter, engineers don’t just ship features - they shape the foundation of an industry in flux. You’ll work alongside a small, elite team of product leaders and technologists from FAANG and top startup and healthcare orgs to architect systems that handle millions of patient records, build AI agents that execute critical healthcare workflows, and design platforms that major health entities depend on daily. Every line of code you write shapes how a $4T industry operates.
Our Engineering & Data Culture & Values
We are a high-performing group of engineers and analysts dedicated to delivering innovative, high-quality solutions and actionable insights to our clients and business partners. We believe in:
Data-Driven Excellence: Taking immense pride in our analytical craft, ensuring data integrity, accuracy, and impactful insights in all our deliverables.
Impact-Driven Analysis: Firmly committed to leveraging data to drive meaningful improvements in healthcare outcomes and operational efficiency, continuously delivering value to our users.
Collaboration Over Ego: Valuing exceptional work and groundbreaking ideas above all else. We seek talented individuals who are accustomed to working within a fast-paced environment and are driven to ship often to achieve significant impact.
Continuous Growth: Fostering an environment of continuous learning, mentorship, and professional development, where you can deepen your expertise and grow your career.
Responsibilities
As a Senior Business Intelligence Developer, you will be pivotal in translating complex healthcare data into clear, actionable intelligence for our diverse user base:
Reporting & Dashboard Development: Design, develop, and maintain insightful reports, interactive dashboards, and compelling visualizations using leading BI tools (e.g., Looker, Tableau, Power BI) for various stakeholders, including hospital providers, managed care organization operators, healthcare providers, and healthcare executives.
Data Analysis & Insights: Conduct deep-dive analyses on large, complex healthcare datasets to identify trends, opportunities, and areas for improvement related to patient outcomes, medical costs, financial performance, and operational efficiency.
SQL & Database Proficiency: Write complex, optimized raw SQL queries to extract, transform, and load data from various relational and non-relational databases, ensuring data accuracy and performance.
Healthcare Domain Expertise: Apply exceptional knowledge of healthcare metrics, statistics, HCC coding, DRG coding, and the operational intricacies of various commercial and government healthcare plans (e.g., Medicare, Medicaid, commercial payers) to contextualize data and generate relevant insights.
Data Structure Understanding: Leverage a strong understanding of how healthcare data is structured across different sources (e.g., claims, EMRs, clinical notes) to effectively integrate and analyze information.
Cross-Functional Collaboration: Partner seamlessly with data engineers, product managers, clinical experts, and executives to understand their analytical needs, deliver tailored solutions, and provide expert data interpretation.
Requirements Gathering: Lead sessions to define reporting and analytical requirements from business users, translating their needs into technical specifications and data models.
Quality Assurance: Implement robust data validation and quality assurance processes to ensure the accuracy and reliability of all reports and dashboards.
Technical Leadership: Provide guidance and mentorship on BI best practices, data visualization techniques, and analytical methodologies to junior analysts and cross-functional partners.
Hiring & Onboarding: Participate in interviewing and onboarding new team members, helping to grow a world-class data and BI organization.
Minimum Qualifications
8+ years of deep, hands-on experience as a Business Intelligence Analyst, Data Analyst, or a similar role, with a strong focus on delivering actionable insights.
Exceptional knowledge of healthcare metrics and statistics, including an in-depth understanding of HCC coding, DRG coding, and how various commercial and government healthcare plans operate.
Extreme proficiency with databases, including how to access them and the ability to write complex, raw SQL queries for data extraction and manipulation.
Mastery of various BI visualization tools, specifically Looker and Tableau.
Comprehensive understanding of how healthcare data is structured across different systems and formats.
Intimate knowledge of and ability to implement data validation, quality assurance, and testing strategies for BI deliverables.
Experience providing technical leadership and guidance, and thinking strategically and analytically to solve complex business problems.
Friendly communication skills and ability to work well in a diverse, cross-functional team setting.
Demonstrated experience working with many cross-functional partners (Product, Engineering, Clinical Teams, Executives).
Demonstrated experience leading the analytical vision and delivery plan for a business intelligence product or component.
Preferred Qualifications
Strong actuarial background or related experience in risk assessment and financial modeling within healthcare.
Direct experience having worked at a health plan (commercial, Medicare Advantage, Medicaid, or self-funded employer plans).
Knowledge of various standard plan formats (e.g., X12, HL7, FHIR, custom payer feeds).
Experience with big data technologies and cloud data platforms (e.g., Google Cloud Platform, AWS, Snowflake, Databricks).
Proficiency in scripting languages like Python for data manipulation and automation.
Experience with statistical analysis and predictive modeling.
This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.
Job Benefits
We offer a comprehensive and competitive benefits package designed to support your well-being and professional growth:
Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity.
Generous Paid Time Off (PTO): To ensure a healthy work-life balance.
Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family.
Life and Disability Insurance: Providing financial security.
Simple IRA Matching: To support your long-term financial goals.
Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning.
Wellness Programs: Initiatives to support your physical and mental health.
Pay Transparency
The annual base salary range for this position is $180,000-$240,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.
