Job Description
These roles build data pipelines connecting marketing and product data to enhance patient enrollment and retention in Pomelo Care’s healthcare settings. The focus uses SQL and Python to analyze funnel conversions and develop attribution models.
Pomelo Care delivers 24/7 care for women and children nationally, partnering with payers for equitable access. The leader in evidence-based interventions supports reproductive and pediatric needs.
Tasks include defining metrics like engagement rates, leading A/B tests, and collaborating with Clinical teams for features. Colleagues use Looker and dbt in product analytics. One constraint is working with incomplete data in fast-paced healthcare startups.
Compensation ranges $220,000 to $260,000 USD. Roles offer equity choices, competitive healthcare benefits, unlimited vacation. Growth opportunities include leadership in patient experience teams.
Responsibilities
- Build innovative, data-driven products enhance patient engagement and retention
- Become expert in patient behavior, engagement patterns, retention drivers
- Collaborate with Marketing team build and optimize multi-channel enrollment strategy
- Build attribution models, analyze funnel conversion rates, identify resource allocation
- Define and iterate on key metrics health of business, enrollment and retention rates
- Complete exploratory analyses inform development enrollment and engagement features
- Build robust data pipelines and analytics infrastructure connect external, marketing, product data
- Lead A/B testing across marketing and product initiatives measure impact
- Collaborate with Product, Clinical, Engineering teams translate insights into product improvements
Requirements
- 6+ years professional experience in data science, product analytics, or engineering
- 2+ years professional experience in healthcare, consumer health, high-touch products
- Expert proficiency in SQL and Python
- Strong product sense with experience in prototyping, A/B testing, user behavior analysis
- Proven track record implementing data-driven solutions to complex problems
- Comfortable leading cross-functional initiatives with Product, Engineering, Clinical teams
- Strong communicator understanding different audiences
- Experience with data visualization tools (Looker, Tableau, Metabase)
- Experience with modern data stack tools (dbt, Airflow, Snowflake)
- Experience with AI model development including fine-tuning, prompt engineering preferred
- Background in healthcare AI, clinical decision support, medical NLP preferred