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Ophelia

Provides medication-assisted treatment for opioid dependence

Senior Product Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USA$124k - $134k

About the Job

Requirements

  • At least 4 years of product analytics experience for consumer-oriented digital products, with a track record of driving business outcomes through experimentation and insight.
  • Strong business acumen to connect analyses to strategy, track key metrics and key performance indicators, and help teams prioritize work.
  • Strong hands-on statistics and experimentation knowledge, including sample size and power calculations, variance reduction, sequential and Bayesian approaches, and correcting for sample ratio mismatch, novelty effects, and multiple testing.
  • Ability to select suitable parametric or non-parametric tests, work with ratio metrics, and apply causal inference methods such as difference-in-differences, propensity score matching, regression discontinuity, and synthetic controls.
  • Technical fluency in SQL and Python or R, and experience with cloud data warehouses such as BigQuery.
  • Ability to translate data into an understanding of patient and clinician needs and business implications.
  • Ability to present analyses and tailor data-backed points of view to audiences ranging from squad teams to leadership and large meetings.
  • Focus on delivering outcomes, working thoughtfully and iteratively, capturing and sharing learnings, and applying them to future decisions.

Responsibilities

  • Lead experimentation across product squads, partnering with product management, engineering, and design to develop hypotheses, size and design tests, monitor tests, and deliver clear readouts.
  • Design and maintain product metrics, including success metrics, guardrails, and leading indicators for each squad; validate metric health and build trusted dashboards in Lightdash.
  • Analyze patient and clinician behavior, including funnels, engagement, retention, and outcomes; use quasi-experimental methods when randomized testing is not possible.
  • Study and share outcomes and learnings with squad teams, leadership, and large-format meetings, translating complex analyses into clear stories and recommendations.
  • Pair quantitative analysis with qualitative signals such as FullStory sessions, user research, and feedback to maintain a patient-centered focus.
  • Partner with the Data Council, Data Analysts, and Analytics Engineers to improve instrumentation, data quality, shared definitions, and analytics tooling.
  • Stay current with product analytics and experimentation trends, methods, and best practices; network beyond Ophelia and share learnings with the team.

Desired Qualifications

  • Experience with business intelligence tools such as Lightdash, session and behavior analytics tools such as FullStory, and feature flagging tools such as LaunchDarkly.
  • Experience with Mixpanel or Amplitude.
  • Knowledge of healthcare, including health outcomes and benchmarks, healthcare systems, and regulatory compliance such as HIPAA.
  • Experience in healthcare or telehealth.

About the Company

Ophelia

Provides medication-assisted treatment for opioid dependence

Ophelia delivers medication-assisted treatment (MAT) for opioid dependence through a direct-to-patient model that emphasizes privacy and convenience. Its core offering is medically guided treatment plans using approved MAT medications to reduce cravings and withdrawal, managed by a team of doctors, scientists, and tech professionals. Treatment is designed to be discreet and accessible, potentially bypassing traditional rehab settings in favor of private, patient-centered care. What sets Ophelia apart is its emphasis on privacy, convenience, and a modern approach that integrates medical expertise with technology to improve patient experience and outcomes. The company aims to normalize and expand access to MAT, reduce the stigma around rehab, and lower overdose risk by providing an effective, private alternative that helps people with opioid dependence make their own informed choices.

Company size
201-500
Company stage
Series B
Total funding
$67.8M
Headquarters
New York City, New York
Founded
2020

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