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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product analytics, experimentation methods, and data storytelling, with a strong focus on patient-centered outcomes and strategic business insights. Proficient in SQL and Python or R, with experience in cloud data warehouses and analytics tools.
Highest-signal resume keywords
Product Analytics ExperienceExperimentation Methods ExpertiseSQL ProficiencyData Storytelling SkillsHealthcare Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Experimentation MethodsSample Size CalculationsCausal Inference MethodsRegression DiscontinuityPropensity Score MatchingSQLPythonRData AnalysisMetric Design
Soft Skills
Communication SkillsPresentation SkillsBusiness AcumenCustomer OrientationTeam Collaboration
Tools & Technologies
LightdashFullStoryBigQueryMixpanelAmplitudeLaunchDarkly
Industry Keywords
Digital ProductsPatient-Centered FocusAddiction TreatmentTelehealthHealthcare Analytics
Tech Stack
Tools & technologiesBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Lead experimentation across all product squads, including hypothesis development, test sizing and design, monitoring, and readouts
- Design and maintain product metrics, success metrics, guardrails, and leading indicators
- Validate metric health and build trusted Lightdash dashboards
- Deliver deep-dive analyses of patient and clinician behavior, including funnels, engagement, retention, and outcomes
- Apply quasi-experimental methods when randomized testing is not possible
- Share outcomes and learnings with squad teams, leadership, and large-format meetings
- Translate complex analyses into clear stories and actionable recommendations
- Combine quantitative analysis with 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
- Report to the Manager of Product Management and support all three product squads across Technology
Requirements
What you’ll need- 4+ years experience in product analytics for consumer-oriented digital products
- Strong business acumen connecting analyses to strategy, metrics, and KPIs
- Deep hands-on command of experimentation methods, including sample size and power calculations, variance reduction, sequential and Bayesian approaches, and correction for sample ratio mismatch, novelty effects, and multiple testing
- Comfortable choosing parametric or non-parametric tests, working with ratio metrics, and applying causal inference methods including diff-in-diff, propensity score matching, regression discontinuity, and synthetic controls
- Strong technical fluency in SQL and Python or R
- Experience with cloud data warehouses such as BigQuery
- Stellar communication, presentation, and data storytelling skills
- Customer- and patient-oriented business mindset
- Passion for making evidence-based addiction treatment universally accessible
- Healthcare or telehealth experience is a plus
- Experience with Lightdash, FullStory, LaunchDarkly, Mixpanel, or Amplitude is a plus
Benefits
Comp & perks- Compensation is dynamic at Ophelia, with opportunities for increased compensation annually as long as the company performs well and meets its targets
- First and best offer approach
- Fully remote work
