Aeroflow Health is looking to build a revolutionary platform that enables patients to shop for essential healthcare products and services in an e-commerce-like experience powered by insurance, and they need a Product Data Analyst to help drive data-driven decision-making and product improvements for their Urology team.
Requirements
- Hands-on experience implementing custom event tagging for complex, front-end web experiences (not just reviewing GA dashboards).
- Proficiency with Google Analytics, Google Tag Manager and at least one data visualization platform (Tableau, Power BI, Looker, AWS Quicksight), including building dashboards/reports from raw data.
- Comfortable writing and interpreting SQL queries and pulling data from relational databases or Snowflake (basic Liquid familiarity a plus).
- Experience designing and analyzing A/B or multivariate experiments and presenting results to cross-functional teams.
- Exposure to event-driven architecture and managing integrations with third-party data or marketing platforms.
- Experience with Braze or similar email marketing platforms.
- Experience working with Adobe Commerce properties, Alokai, or React-based platforms.
Responsibilities
- Identify opportunities for data-driven decision-making through user testing, A/B testing, and data mining.
- Facilitate data collection and analysis to deliver actionable recommendations for stakeholders.
- Analyze patient-facing digital products (purchasing, scheduling, resupply) and related user behaviors to guide product improvements.
- Tag, collect, analyze, and interpret data from internal and external sources, uncovering patterns, trends, and opportunities for enhancement.
- Measure and visualize performance metrics (adoption, engagement, conversion rates, revenue) and identify bottlenecks and growth opportunities.
- Build dashboards, reports, and data visualizations to communicate findings and recommendations clearly to technical and non-technical audiences.
- Maintain clear documentation of analysis methodologies and insights while ensuring data integrity and consistency.
Other
- 5+ years in a product or digital analytics role supporting consumer-facing (B2C) products, with a track record of measurable impact on KPIs (adoption, engagement, conversion, or revenue).
- Proactive, deadline-driven, and highly motivated, with a passion for continuous learning.
- Exceptional communicator who can translate complex technical findings into actionable insights.
- Strong analytical and problem-solving skills with proven ability to deliver insights from complex datasets.
- Comfortable working cross-functionally in a fast-paced, agile environment, balancing multiple priorities.
