Fractional Data / Product Analytics Engineer (16 hrs/week)
We’re looking for a fractional Data / Product Analytics Engineer to help us level up our internal operations and product insights. This role sits at the intersection of analytics engineering, business systems, and product analytics, with a strong focus on speed, pragmatism, and clarity.
Scope & Projects
• Design and build new Retool dashboards to streamline internal operations across our EHR, payment systems, and other internal databases
• Connect additional data sources (e.g., payments, marketing tools) into our product analytics stack, including PostHog
• Create and maintain dashboards in PostHog to better understand product usage, patient behavior, and marketing performance
• Partner closely with product and operations to define metrics, answer ad-hoc questions, and improve data reliability over time
Experience & Skills
• 3–6 years of experience in analytics engineering, business systems, data analytics, or data-focused operations
• Strong fluency in SQL and at least one scripting or automation language (Python, JavaScript, or similar)
• Comfortable integrating APIs and working across disparate data sources (e.g., Stripe, marketing automation tools, Google Sheets)
• Proven ability to design scalable dashboards, metrics, and reporting frameworks that non-technical teams can actually use
• Familiarity with Retool is a strong plus
Engagement Details
• Fractional role, ~16 hours per week
• 3-month contract
• Emphasis on execution, clear communication, and practical solutions over perfection
Apply Now
Apply Now
Scope & Projects
• Design and build new Retool dashboards to streamline internal operations across our EHR, payment systems, and other internal databases
• Connect additional data sources (e.g., payments, marketing tools) into our product analytics stack, including PostHog
• Create and maintain dashboards in PostHog to better understand product usage, patient behavior, and marketing performance
• Partner closely with product and operations to define metrics, answer ad-hoc questions, and improve data reliability over time
Experience & Skills
• 3–6 years of experience in analytics engineering, business systems, data analytics, or data-focused operations
• Strong fluency in SQL and at least one scripting or automation language (Python, JavaScript, or similar)
• Comfortable integrating APIs and working across disparate data sources (e.g., Stripe, marketing automation tools, Google Sheets)
• Proven ability to design scalable dashboards, metrics, and reporting frameworks that non-technical teams can actually use
• Familiarity with Retool is a strong plus
Engagement Details
• Fractional role, ~16 hours per week
• 3-month contract
• Emphasis on execution, clear communication, and practical solutions over perfection
Apply Now
Apply Now