Lead Data Analyst

GoodRx•CA HQ, CA

2d•Hybrid

About The Position

GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $75 billion on the cost of their prescriptions. Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans. GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a tele-health marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. We help Americans get the healthcare they need at a price they can afford. We believe everyone deserves affordable and convenient healthcare. We build better ways for people to find the best care at the best price. Our technology gives all Americans — regardless of income or insurance status — the knowledge, choice, and care they need to stay healthy. We’re here to help. Come and help us create the future of healthcare.

Requirements

6-8+ years of experience writing complex SQL, including the ability to write production-quality code with little oversight.
Strong experience in advanced analytics in Python, covering data wrangling, time series forecasting, and counterfactual analysis (e.g. difference-in-difference modeling, causal impact).
Experience with data visualization tools (e.g., Tableau, Looker, Power BI).
Experience with DBT or ETL environments
Strong analytical thinking skills with the ability to identify patterns, synthesize insights, and drive business decisions in complex and ambiguous environments
Excellent communication and stakeholder management skills, with the ability to influence decisions across technical and non-technical audiences.
Experience operating independently and driving analytical initiatives from problem definition through execution and impact

Nice To Haves

Experience leveraging AI tools to enhance analytical workflows and scaling their adoption across teams
Experience working in a compliance driven domain (HIPAA, PCI or others)
Strong understanding of the healthcare industry and its evolving landscape

Responsibilities

Partner with cross-functional teams, in support of new product launches, to define KPIs, develop performance metrics, and ensure data availability on day one.
Collaborate with data engineering teams to design and implement behavior tracking and data models to evaluate product performance.
Lead proactive analyses to identify key trends, diagnose root causes, and surface strategic opportunities for business leaders.
Evaluate new features, products, and markets, and influence strategic decisions by recommending high-impact growth opportunities.
Build and maintain dashboards to present insights to technical and non-technical stakeholders.
Write production-quality SQL and python to create new data assets to enable partners across the organization.
Drive the development and adoption of AI-enabled analytics and workflows to scale insights and decision-making across the organization.