Company Overview
We are on a mission to help people get high cost medications easily and affordably. As a Series D health-tech startup, we have built a multi-sided platform for the specialized drugs that treat complex health conditions.
Our mobile experience helps patients seamlessly get their medications covered by insurance and start and stay on treatment. We partner with pharmaceutical companies to get their therapies to patients, and provide them data to drive their approach. The end result is exponentially better patient outcomes, a simpler prescriber experience, and the latest science reaching the people who need it most.
For more information on Phil, visit https://phil.us
Position Overview
Analytics Engineers at Phil lay the groundwork for supporting our company to understand patients and their medication through the lens of data. Our team is incredibly multi-faceted with opportunities to deliver on many different data challenges; we work with individuals across the org, understanding their needs and delivering to those needs. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions.
Responsibilities
- Be part of a team of problem solvers, helping to solve complex business issues from strategy to execution
- Research gaps within data and develop opportunities for improving the upstream systems/processes
- Create, monitor, and deliver on metrics-based goals
- Work closely with and learn from other data professionals skilled in BI, data modeling, and data warehousing
- Champion best practices and serve as a subject matter expert in data modeling, analytics, and visualization
- Construct, perform, and document testing of processes for compliance and data quality
- Translate business needs into technical data solutions
Requirements
- Proficient in SQL
- Ability to distill complex information into easily consumable reports, statements and communications that provide insights, enabling quick decision making
- Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
- Ability to move easily between big picture thinking and managing relevant detail
- Bachelor's degree or equivalent work experience as an analyst, engineer, or any other relevant work
- You’re energized by business impact & a self-starter: you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust
- Ideally 2+ years of experience
Nice-to-haves
- Knowledgeable in scripting languages (Python, R, etc.)
- Specific technologies that are plusses: dbt, Snowflake, Looker
- Demonstrated experience in data modeling and implementation
Benefits
- Ground floor opportunity with one of the fastest-growing healthtech startups
- Competitive compensation including stock options
- Full benefits (medical, dental, vision)
- 401(k) contribution opportunity
- Solving a problem that matters
- Total compensation for this role is market competitive, including a starting base salary of $70,000 - $85,000, depending on experience, as well as company stock options