Lead Product Analyst, CDS Adoption & Engagement
USA - Coppell, TXAll locationsUSA - Coppell, TXUSA-MA-RemoteUSA - Draper, UTUSA - Kennesaw, GAUSA - Madison, WI, Junction RdUSA - Tampa, FLUSA - Philadelphia, PAUSA - Chicago, IL, West Adams StUSA - Dallas, TXUSA - Indianapolis, INUSA - Greenwood Village, CO Remote
$107,500–$188,400 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As Lead Product Analyst, CDS Adoption & Engagement, you will focus on adoption, engagement, funnel behavior, and usage patterns across clinical decision support products. You will partner closely with Product, Engineering, Design, Analytics, Commercial, and customer-facing teams to turn product data into clear insights, better decisions, and measurable improvements. This is not a reporting-only role. You will be expected to query product usage data directly, investigate patterns, and translate analysis into practical recommendations.
What you'll bring
- 5+ years of experience in product analytics, data analytics, business analytics, product operations, or a related role.
- Strong ability to write queries independently using SQL or comparable data-querying tools.
- Experience analyzing adoption, engagement, funnel metrics, click behavior, cohorts, segments, and usage patterns and generating insights that contribute to the product development strategy.
- Comfort working with event-level product telemetry, data models, and imperfect instrumentation.
- Ability to turn ambiguous product questions into structured analyses and actionable insights.
- Experience building dashboards, recurring reports, or self-serve product analytics views.
- Strong communication skills and ability to explain data clearly to non-technical stakeholders.
- Experience partnering closely with Product, Engineering, Design, Analytics, Commercial, or Customer Success teams.
- Preferred Background
- Experience with healthcare, clinical workflow, enterprise SaaS, AI-enabled products, search, content products, or decision-support tools.
- Familiarity with experimentation, A/B testing, product telemetry, event instrumentation, or customer journey analytics.
- Experience with modern data platforms and business intelligence tools.