Bariendo
 is hiring a fractional

Data / Product Analytics Engineer

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Weekly Commitment

16 hrs

Compensation Range

Unknown

Company Stage

Growth-stage VC

Industry

Healthtech

Location

Remote
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io

‍

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

​

How to Apply

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