Position: Founding Data Analyst
Company: Medallion
Category: Data Science
Experience required: 3y
English level: upper

**About Medallion:**
Healthcare is going through an unprecedented transformation towards digital care. Medallion provides the critical administrative infrastructure to make that change possible. Our platform enables organizations to license their providers in new states, verify existing credentials, and get in-network with health plans. In less than a year, we’ve launched our platform, built an all-star team, powered dozens of great companies, and served thousands of healthcare providers across the industry!

We've raised $50M from some of the best investors like Sequoia Capital, Spark Capital, Optum Ventures, Elad Gil, Peter Reinhardt, and many others.

**About the role:**
As the Founding Data Analyst, you will work closely with department leads across the company to access metrics, set goals, and make decisions. By leveling up our ability to quantify and analyze complicated healthcare processes and our ability to service them, this role will be critical to Medallion’s continued success. You will report into Medallion’s EPD (Engineering, Product, and Design) organization.

**You will:**
Define key metrics
- Collaborate with department leads to understand team goals and metrics
- Attend department meetings to discover how analytics can empower operational work
- Partner on product or process changes to define supporting analytics

Produce analytics
- Write SQL queries against production data sources
- Design and surface automated dashboards
- Create one-off reports and presentations

Lay the foundations for a data function
- Research, choose and implement necessary data tools and related software
- Influence internal product updates and process changes needed to produce relevant raw data
- Empower others to self-serve analytics

**You may be a fit for this role if you:**
- Are highly skilled at writing SQL 
- Have experience with a modern BI stack (Tableau/Looker, cloud infrastructure, ETL tools)

**You are also likely to:**
- Care deeply about how people consume analytics
- Do whatever it takes to get a metric just right
- Have strong communication and presentation skills