Kouper is looking to bridge the care transition gap and fundamentally improve the patient experience to help people live longer and better by building its data infrastructure and analytics capabilities.
Requirements
- 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
- Hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration
- Knowledge of statistical modeling and data engineering principles
Responsibilities
- 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
- 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
- Use Python to support statistical analysis and process automation
Other
- 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
- Strong analytical and problem-solving abilities
- Excellent attention to detail and ability to work independently
- Previous internship or project experience in data science, analytics, or data engineering
