Junior Data Analyst

Brief Description

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 in uncovering hidden data insights and patterns and communicating them to stakeholders with compelling storytelling. This role plays a key part in identifying cost-saving opportunities and improving claim accuracy across Group Health and Workers’ Compensation plans. Jr. Data Analyst brings a strong background in statistics and modeling, 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 a hybrid or remote work arrangement. Candidates located near the company office may be expected to work on-site 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 patterns in data 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 in 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, 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 Workers’ Compensation payer systems.