Jr. Data Analyst

Our Ideal Candidate

We’re looking for a detail-oriented Jr. Data Analyst to join our growing team. The ideal candidate is a data detective with proven experience of uncovering hidden data insights and patterns and communicating them to stakeholders with compelling story telling. This role plays a key part in identifying cost-saving opportunities and improving claim accuracy across Group Health and Worker’s Compensation plans. Jr. Data Analyst brings strong statistics and modeling background, hands-on experience with healthcare claims data, strong technical skills (SQL, Python, Power BI), and a passion for improving healthcare.

This role is eligible for hybrid or remote work arrangement. Candidates located near the company office may be expected to work onsite up to 2-3 days per week. Remote employees may be required to travel to the Portland office location based on business needs. This role reports to the Senior Director of Data Science. 

Responsibilities

• Analyze Group Health and Workers’ Compensation claims data to identify cost-savings opportunities for potential and existing clients, billing practices, errors, and overpayments. 
• Build, validate, and maintain statistical models that uncover trends and drive informed business decisions from healthcare data. 
• Work closely with operational and sales teams to interpret data patterns and recommend process improvements. 
• Build and maintain reports and dashboards that monitor claim activity and performance metrics.
• Translate business requirements into technical specifications for analytical projects. 
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders. 

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, or a related quantitative field.
• 3+ years of experience applying statistical modeling techniques and methodologies (such as Six Sigma, regression analysis, or hypothesis testing) and analyzing healthcare claims or related healthcare data.
• Proficiency in SQL, Python or R, Tableau or Power BI for data analysis and visualizations. 
• Experience working with SQL databases and database tools (e.g., MySQL Workbench, DBeaver). 
• Strong understanding of healthcare reimbursement methodologies and claims adjudication. 
• Experience working in payment integrity, healthcare cost containment, or audit functions.
• Must be authorized to work in the United States without current or future company sponsorship. 

Preferred:

• Experience with medical coding standards (e.g., ICD, CPT, HCPCS). 
• Familiarity with Medicare Advantage, Group Health and Worker’s Compensation payer systems.