Responsibilities: Data Infrastructure & Analytics

• Build and maintain dashboards using business intelligence tools to support comprehensive retrospective analysis and ongoing areas of interest
• Write SQL queries to extract, transform, and analyze large datasets
• Develop LookML models to support self-service analytics across the organization
• Create automated reporting solutions to monitor business performance and operational efficiency

Ad-hoc Analysis & Reporting

• Conduct deep-dive analyses to support strategic initiatives and answer critical business questions
• Generate insights from business data to identify trends, patterns, and optimization opportunities
• Support market research initiatives with quantitative analysis and data visualization

Technical Development

• Use Python to support statistical analysis and process automation
• Collaborate on data pipeline development and optimization
• Ensure data quality and integrity across reporting systems
• Document analytical processes and maintain code repositories

Qualifications

• Currently enrolled in a Bachelor's program in Computer Science, Data Science, Statistics, Mathematics, or related quantitative field
• Strong academic performance from a top-tier college/university with ability to share academic transcripts
• Proficiency with dbt/dataform and experience designing modular, well-documented transformation layers in a modern data stack
• SQL skills with good understanding of data modeling best practices
• Working knowledge of Python for data analysis and automation
• Strong analytical and problem-solving abilities
• Excellent attention to detail and ability to work independently

Preferred Qualifications

• Previous internship or project experience in data science, analytics, or data engineering
• Hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration
• Knowledge of statistical modeling and data engineering principles

What We Offer

• Opportunity to make meaningful impact at a high-growth, mission-driven healthcare startup
• Exposure to real-world healthcare data challenges and solutions
• Access to cutting-edge healthcare technology and data infrastructure