Senior Data Analyst (Healthcare)

TL;DR

Senior Data Analyst (Healthcare): Delivering data insights and analytics capabilities across customer bases and go-to-market functions with an accent on customer-facing dashboards and ROI storytelling. Focus on building proof-of-concept reports for presales and developing complex analytical models for healthcare provider profiles.

Location: Remote (US). Must be based in a U.S. jurisdiction. Requirement to attend an in-person orientation in Cleveland, Ohio, and occasional travel to HQ.

Salary: $115,000 - $130,000

Company

Clinical workforce intelligence company providing AI-powered insights to healthcare systems and staffing firms to accelerate clinician onboarding and workforce planning.

What you will do

• Build and maintain customer-facing dashboards to surface utilization trends and automation ROI.
• Partner with the Sales team to produce data-driven proof of concept (POC) reports for prospective clients.
• Collaborate with Data Scientists to build complex analytical models and deep insights on clinicians.
• Analyze new data sources to understand integration opportunities into the provider data model.
• Ensure high data quality standards by identifying anomalies and inconsistencies before they reach customers.

Requirements

• 4+ years of experience in a Data Analyst or BI Analyst role.
• Deep understanding of healthcare data, including claims data, CPT, ICD, and UB-04 standards.
• Proficiency in SQL and at least one BI tool (e.g., Omni, Tableau, Looker).
• Ability to translate complex data findings into non-technical business narratives for executives.
• Must be authorized to work in the US; visa sponsorship is not available.

Nice to have

• Experience supporting presales, solution engineering, or proof-of-concept functions.
• Proficiency in Python or R for data analysis and automation.

Culture & Benefits

• Comprehensive health insurance and 401(k) with employer match.
• Wellness and Work From Home stipends.
• Professional development reimbursement.
• Flexible PTO and paid parental leave.
• Inclusive environment with a Diversity in Tech (DiT) Employee Resource Group.

Hiring process

• Interviews with Talent Acquisition, CPO, Hiring Manager, and the Team.
• Case study evaluation.
• Reference calls and final decision.