Senior Data Analyst — Healthcare Analytics & Impact

TechTwitter; New York, Northern (NY, KY); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Comprehensive Health Coverage

Mental Health Support

Paid Parental Leave

401K with options (traditional & Roth)

Job summary

Camber is growing its data analytics team and seeks mission-driven, customer-focused data professionals who love solving complex problems with users. You will collaborate with technical and non-technical teammates to design investigations and drive data-informed solutions that impact healthcare operations.

The role emphasizes partnering with clinics, building high-quality dashboards, and translating business questions into clear analytical approaches while maintaining data trust across pipelines.

Qualifications

• 5+ years of experience as a data analyst or similar role.
• Strong SQL skills with large, complex datasets.
• Excellent analytical problem-solving and business modeling abilities.
• Clear communication and ability to distill analyses into insights and recommendations.
• Ability to handle ambiguity and manage multiple priorities.

Responsibilities

• Partner with clinics and stakeholders to define reporting requirements (billing, revenue, operations).
• Design, build, and maintain dashboards and reports with actionable insights.
• Ensure data accuracy, consistency, and quality across reporting pipelines.
• Translate business questions into analytical approaches and present findings clearly.
• Identify opportunities for new metrics and scalable analytics practices.

Skills

SQL

Analytics

Storytelling

Ambiguity management

Tools

Hex

Sigma

Tableau

Holistics

React.js

Job description

Camber is growing its data analytics team and seeks mission-driven, customer-focused data professionals who love solving complex problems with users. You will collaborate with technical and non-technical teammates to design investigations and drive data-informed solutions that impact healthcare operations.

The role emphasizes partnering with clinics, building high-quality dashboards, and translating business questions into clear analytical approaches while maintaining data trust across pipelines.