Remote Junior Data Analyst - Healthcare Insights

caretalkhealth; United States; Remote; USD 40,000 - 57,000; Full time

Job summary

caretalkhealth is seeking an entry-level data analyst for a fully remote, US-based position. You will manage, explore, and interpret healthcare datasets that support a virtual medical practice, spanning data engineering, statistics, and applied machine learning.

You will collaborate with product, engineering, and clinical stakeholders to surface insights that improve workflows and patient outcomes, build dashboards, validate data quality, and develop basic predictive models with guidance from

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, CS, or related).
• 1–2 years in a data-focused role (internships or project work).
• Proficiency with SQL and at least one of Python or R for analysis.
• Familiarity with Tableau or Power BI for visualization.
• Working knowledge of statistical methods and introductory predictive modeling concepts.
• Clear written and verbal communication, attention to detail, and a strong learning mindset.

Responsibilities

• Collect, clean, and preprocess healthcare data from multiple sources.
• Run statistical analyses and translate findings into actionable recommendations.
• Build and maintain dashboards, reports, and visualizations for non-technical audiences.
• Collaborate with clinical, product, and engineering teams to scope data requirements.
• Validate and safeguard data accuracy, completeness, and integrity.
• Develop and test entry-level machine learning models to surface patterns.

Skills

SQL

Python

R

Statistical methods

Communication

Data cleaning

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Tools

Tableau

Power BI

Job description

caretalkhealth is seeking an entry-level data analyst for a fully remote, US-based position. You will manage, explore, and interpret healthcare datasets that support a virtual medical practice, spanning data engineering, statistics, and applied machine learning.

You will collaborate with product, engineering, and clinical stakeholders to surface insights that improve workflows and patient outcomes, build dashboards, validate data quality, and develop basic predictive models with guidance from