Junior Data Analyst

CareTalk Health

. Collect, clean, and preprocess large datasets from various sources .

Posted 9/18/2026full-timeRemote • United StatesJunior💰 $35 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data collection, cleaning, and preprocessing, with strong analytical skills to perform statistical analyses and develop predictive models. Experienced in collaborating with cross-functional teams to deliver data-driven solutions in healthcare settings.

Highest-signal resume keywords

SQL ProficiencyPython or R for Data AnalysisData Visualization Tools (Tableau or Power BI)Machine Learning and Deep Learning SolutionsHealthcare Datasets Knowledge (FHIR and ICD-10)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData CleaningStatistical AnalysisPredictive ModelingMachine LearningDeep LearningData PreprocessingData ValidationData IntegrityAnalytical Skills

Soft Skills

Problem-Solving SkillsAttention to DetailCommunication SkillsWillingness to Learn

Tools & Technologies

TableauPower BIGoogle ChromeAmazon WorkspacesWindows 10 or LaterMacOS 14 Sonoma or LaterIntel Core i5 or AMD Equivalent Processor16 GB RAMWired HeadphonesWebcam

Industry Keywords

Healthcare DataFHIRICD-10Data-Driven Decision-MakingData Requirements

Tech Stack

Tools & technologies

LinuxMacOSPythonSQLTableau

About the role

Key responsibilities & impact

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
Collaborate with product, engineering, and clinical teams to define data requirements and deliver solutions
Ensure data accuracy, completeness, and integrity through validation and maintenance practices
Develop and apply basic machine learning models to identify patterns and predict outcomes
Build and implement deep learning, machine learning, and artificial intelligence solutions
Develop predictive models and tools to improve healthcare outcomes and support data-driven decision-making

Requirements

What you’ll need

Current, unrestricted authorization to work in the United States without any future need for employer-sponsored work authorization
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
1–2 years of experience in a data-focused role, including internship experience
Proficiency in SQL and Python or R for data analysis
Familiarity with data visualization tools such as Tableau or Power BI
Strong analytical and problem-solving skills
Basic understanding of statistical methods and predictive modeling
Knowledge of healthcare datasets or standards such as FHIR and ICD-10 is a plus
Excellent communication skills, attention to detail, and willingness to learn
Must work physically within the United States; international work is not permitted during scheduled work hours
Reliable internet connectivity and a secure, private workspace
Windows 10 or later or macOS 14 Sonoma or later; no Chromebooks, Linux machines, or smartphones
Intel Core i5 or AMD equivalent processor on Windows, or Apple Silicon on Mac
16 GB RAM
Wired headphones required; built-in microphones are not permitted
Minimum 100 Mbps download and 50 Mbps upload internet speeds
Ethernet cable connecting the computer directly to the router
Google Chrome with Amazon Workspaces
Webcam required for video calls

Benefits

Comp & perks

Remote work from a home office
Innovative culture focused on virtual care and telehealth solutions
Impactful work improving healthcare outcomes and financial performance
Equal opportunity and inclusive work environment