Junior Data Analyst

Wellrithms, Inc.
Portland, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 75K

Job location

Remote
Portland, United States of America

Tech stack

Data analysis
Databases
R
Statistical Hypothesis Testing
Python
Regression Analysis
Power BI
SQL Databases
Tableau
Er-Win
Database Tools and Utilities

Job description

  • 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.

Requirements

Do you have experience in Predictive modeling analysis?, Do you have a Bachelor's degree?, 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., * 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.

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