Junior Data Analyst (W2, Remote) at CareTalk Health in United States

Job description

• 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.

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.

Requirements

• 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).
• 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.

Skills

Required

• Excellent communication skills
• Attention to detail
• Willingness to learn
• SQL
• Python
• R
• Tableau
• Power BI
• Machine learning
• Statistical analysis
• Data visualization

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.