Data Analyst II
Company: Ophelia
Location: Location not specified (Remote)
Remote: Yes
Posted: 2026-01-31
About this role
*Are you looking for a role in a company that's solving one of the greatest challenges of our lifetime?*
Ophelia helps people end their opioid use and restore their quality of life with respect for their time and dignity. Our mission is to make evidence-based treatments for opioid use disorder (OUD) accessible to everyone... and we're looking to bring more people onto our team to help us achieve it.
Ophelia is a venture-backed, healthcare startup that helps individuals with OUD by providing FDA-approved medication and clinical care through a telehealth platform. Our approach is discreet, convenient, and affordable. We've been successfully operating in 14 states for almost six years and we're excited to continue our growth. We are a team of physicians, scientists, entrepreneurs, researchers and White House advisors, backed by leading technology and healthcare investors working to re-imagine and re-build OUD treatment in America.
About The Role
As a
Data Analyst
at Ophelia, you will be the bridge between our data warehouse and our decision-makers. You will be responsible for diving into data to derive insights, identify trends, and tell powerful stories that influence our clinical and business strategies.
You will collaborate across teams to identify data-driven opportunities that propel the business forward, delivering high-quality data work using an agile methodology. Your contributions will ultimately influence key company domains, including company-level KPIs, clinical, commercial, business operations, and more.
Our data team leverages a robust stack within Google Cloud Platform (GCP), utilizing BigQuery, dbt, Rudderstack, and Lightdash. We also leverage various AI tools to enhance our productivity and analytical capabilities, and we are looking for a teammate who shares our excitement for evolving our technical workflows. Data is deeply embedded in our corporate culture, with widespread adoption of data products and a significa...