Junior Data Analyst (W2, Remote)

CareTalk Health

1d • Remote

About The Position

The Junior Data Scientist / Data Analyst will play a pivotal role in managing, analyzing, and interpreting healthcare-related data to support our mission. This individual will collaborate with cross-functional teams to provide insights that influence decision-making, optimize processes, and improve patient care.

You will have the opportunity to build and implement solutions leveraging the latest advancements in deep learning, machine learning, and artificial intelligence. By designing and applying these cutting-edge methodologies, you will help extract valuable insights, develop predictive models, and create tools that enhance outcomes and drive innovation in healthcare.

As part of your journey, you’ll help us create systems that not only analyze the past but also forecast the future—empowering healthcare providers and administrators with data-driven decision-making tools. Whether it’s identifying inefficiencies, improving workflows, or leveraging AI to streamline care delivery, your work will make a measurable impact.

If you’re excited about leveraging data to innovate and thrive in a healthcare technology environment, this role is for you.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 1-2 years of experience in a data-focused role (internship experience included).
• Proficiency in SQL and Python or R for data analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Basic understanding of statistical methods and predictive modeling.
• Excellent communication skills, attention to detail, and a willingness to learn.

Nice To Haves

• Knowledge of healthcare datasets or standards (e.g., FHIR, ICD-10) is a plus.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform statistical analyses and generate actionable insights from healthcare data.
• Create and maintain dashboards, reports, and visualizations to communicate findings effectively.
• Work with product, engineering, and clinical teams to define data requirements and deliver solutions.
• Ensure accuracy, completeness, and integrity of data by implementing best practices for validation and maintenance.
• Develop and apply basic machine learning models to identify patterns and predict outcomes.

Benefits

• Innovative Culture: Be part of a forward-thinking organization committed to transforming the healthcare landscape through virtual care and telehealth solutions.
• Impactful Work: Directly contribute to improving healthcare outcomes and financial performance for leading healthcare organizations.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level