Product Analyst III

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee experimentation initiatives across all product teams, including the development of hypotheses, test sizing and design, monitoring processes, and presenting findings.

• Create and uphold product metrics, success indicators, guardrails, and leading indicators.

• Ensure the integrity of metrics and develop reliable Lightdash dashboards.

• Conduct in-depth analyses of patient and clinician behaviors, focusing on funnels, engagement, retention, and outcomes.

• Utilize quasi-experimental techniques when randomized testing is unfeasible.

• Communicate results and insights with squad teams, leadership, and during large-format meetings.

• Convert complex analyses into understandable narratives and actionable recommendations.

• Merge quantitative analysis with FullStory sessions, user research, and feedback to ensure a patient-centered approach.

• Collaborate with the Data Council, Data Analysts, and Analytics Engineers to enhance instrumentation, data quality, shared definitions, and analytics tools.

• Keep abreast of trends, methodologies, and best practices in product analytics and experimentation.

• Report to the Manager of Product Management and provide support across all three product squads within Technology.

⛳️ Requirements

• A minimum of 4 years of experience in product analytics for consumer-facing digital products.

• Strong business insight that connects analyses to strategy, metrics, and KPIs.

• Extensive hands-on knowledge of experimentation techniques, including sample size and power calculations, variance reduction, sequential and Bayesian methods, and adjustments for sample ratio discrepancies, novelty effects, and multiple tests.

• Proficient in selecting parametric or non-parametric tests, working with ratio metrics, and applying causal inference methods such as difference-in-differences, propensity score matching, regression discontinuity, and synthetic controls.

• Strong technical proficiency in SQL and Python or R.

• Experience with cloud data warehouses like BigQuery.

• Exceptional communication, presentation, and data storytelling abilities.

• A customer- and patient-focused business mindset.

• A passion for making evidence-based addiction treatment universally accessible.

• Prior experience in healthcare or telehealth is advantageous.

• Familiarity with Lightdash, FullStory, LaunchDarkly, Mixpanel, or Amplitude is a plus.

🏝️ Benefits

• Ophelia offers dynamic compensation, with opportunities for annual salary increases contingent on company performance and target achievement.

• First and best offer approach.

• Fully remote work.