Disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service at SmithRx.
Requirements
- Advanced technical proficiency in SQL & dbt, scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
- Experience in leveraging advanced analytics and experimentation to influence product and business decision-making
- Deep experience in collaborating with Data & ML Engineers to architect robust data models and institute world-class data quality guardrails
- Establishing and scaling causal learning frameworks, including designing and executing experiments with statistically significant findings
- Designing, presenting, and influencing people with data visualizations that deliver impactful and actionable insights
Responsibilities
- Drive Goal-Setting & Decision-Making through data-driven goal-setting and designing key metrics
- Architect Data Foundations by designing, developing, and maintaining dimensional data models
- Elevate Data Quality Rigor by championing world-class data governance practices
- Amplify Team Performance by providing incisive technical mentorship and driving clarity amidst ambiguity
Other
- Must be based in one of the following states: Arizona, Arkansas, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin
- Bachelor's degree in a quantitative field (e.g. mathematics, statistics)
- 8+ years of hands-on experience influencing product and business decision-making through experimentation and advanced analytics
- Excellent communication and storytelling skills, seamlessly adapting between business and technical audiences
- Proven leadership prowess, including the ability to drive clarity by articulating a compelling vision and bring people along with you
