CareTalk Health
Junior Data Analyst (W2, Remote)
About this role
Job Title: Junior Data Analyst Location: Remote United States Employment Type: FT W2 Hourly Compensation: $35 per hour *This role requires current, unrestricted authorization to work in the United States without any future need for employer-sponsored work authorization." CareTalk Health About CareTalk Health CareTalk Health is a national virtual medical practice specializing in Clinical Process Outsourcing (CPO). We partner with healthcare organizations to build and manage patient and member populations, delivering care by video across the states we serve and scheduling approximately 20,000 patient visits per month. About the Role Are you curious about data? Do you enjoy diving into datasets to uncover patterns and opportunities? Are you passionate about using data to drive actionable insights and meaningful change? 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. What You’ll Do Key Responsibilities
- Data Management: Collect, clean, and preprocess large datasets from various sources.
- Analysis: Perform statistical analyses and generate actionable insights from healthcare data.
- Visualization: Create and maintain dashboards, reports, and visualizations to communicate findings effectively.
- Collaboration: Work with product, engineering, and clinical teams to define data requirements and deliver solutions.
- Data Quality: Ensure accuracy, completeness, and integrity of data by implementing best practices for validation and maintenance.
- Machine Learning (Developing): Develop and apply basic machine learning models to identify patterns and predict outcomes. Required
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: 1-2 years of experience in a data-focused role (internship experience included). Skills:
- 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.
- Knowledge of healthcare datasets or standards (e.g., FHIR, ICD-10) is a plus.
- Soft Skills: Excellent communication skills, attention to detail, and a willingness to learn. Work Location Requirement This is a remote U.S.-based position. Employees must perform all work physically within the United States. International work is not permitted during scheduled work hours. Work Environment This is a remote position and may be “on camera” at any time. This position will work from a home office, requiring reliable internet connectivity and a secure, private workspace. Technical Requirements: