Note: The job is a remote job and is open to candidates in USA. VisualDx is seeking a Senior Product Analyst to define the analytical strategy for how clinicians engage with its platform. The role will establish measurement frameworks, analyze product usage, build clinician feedback programs and self-service reporting tools, and translate qualitative and quantitative insights into product, growth, and go-to-market recommendations.
Responsibilities
- Own the analytical narrative for our product. Define KPIs and measurement frameworks that establish what success looks like, both at baseline and for individual initiatives, feature releases, and campaigns. You'll partner with leadership and product teams to shape these frameworks, not just execute within them
- Design and build a sustainable program for ongoing clinician feedback. You'll create the system, recruiting users, scheduling regular cadences, synthesizing findings, distributing insights. That keeps us connected to how clinicians actually use our product and where they struggle
- Analyze product usage data (retention, feature adoption, session behavior, engagement) across our multi-channel model. Understand how individual subscriptions and institutional licenses drive adoption and value differently. Identify cohort differences and engagement drivers. Know what's working where, and why
- Marry qualitative and quantitative insights to build sound arguments. Combine what you learned from clinician calls with what the data reveals. Use both to inform roadmap priorities, strategic initiatives, and go-to-market decisions. Make the case for what we should build next
- Understand and inform the end-to-end user journey. Track how clinicians move from initial awareness (marketing campaigns) through product discovery, feature engagement, and subscription/licensing decisions. Identify friction points and opportunities across the full journey
- Build and maintain dashboards and reports that give the product team a continuous read on engagement health. Create self-serve reporting tools based on department needs so teams can answer their own questions without waiting on you
- Design and run cohort and funnel analyses to explain why metrics move, not just that they moved. Use segmentation to reveal which user types drive value, which are at risk, and what interventions might help
- Partner with PMs, Engineering, and Marketing to define what should be tracked as new features ship and campaigns launch. Ensure instrumentation is built in from the start, not bolted on afterward
- Proactively surface insights and recommendations that go beyond the ask. Identify opportunities others haven't seen. Challenge assumptions with data. Help teams move faster and smarter
- Present findings and recommendations to leadership for strategic planning and roadmap decisions. Communicate technical and data details clearly to non-technical stakeholders
Skills
- 5+ years in product analytics, growth analytics, user research, or a related analytical role where you owned business-critical metrics or initiatives
- You've owned the analytical narrative for at least one product area, defining KPIs, designing measurement frameworks, surfacing insights that drove decisions, and influencing what got built. You've done this independently, not just reported against existing frameworks
- Track record of designing programs and seeing them through: you've built dashboards that stuck, designed and maintained ongoing research cadences, or created reporting systems that changed how teams made decisions
- Strong SQL skills. You write queries independently to explore product data and answer complex questions. You're comfortable working directly with event data, telemetry, and imperfect instrumentation
- Ability to turn ambiguous product questions into structured analyses and actionable insights. You know how to ask the right follow-up questions, wrangle messy data, and isolate what actually matters
- Experience analyzing adoption, engagement, funnel metrics, cohorts, and usage patterns. You understand how to segment users and identify what drives behavior differences
- Clear communicator who can explain analytical findings and data nuances to both technical and non-technical audiences. You're a strong storyteller who knows how to make a compelling, concise case for action
- Product instinct. You think about clinician workflows and user friction, not just metrics. You ask 'why does this matter to the user?' and 'what should we do differently?', not just 'what does the data say?'
- Comfortable partnering closely with Product, Engineering, Design, and go-to-market teams. You proactively bring data into conversations early, when it can shape decisions
- Regularly required to talk and hear
- Frequently required to use hands and fingers and reach with hands and arms
- Prolonged periods of sitting at a desk and working on a computer
- Able to travel as needed
- Applicants must reside in one of these states to be hired
- This role requires working during Eastern Time business hours
- Familiarity with healthcare workflows, clinical decision support, or enterprise SaaS. You understand the complexity of products used by clinicians and purchased by institutions
- Experience with multi-channel or dual go-to-market models (e.g., freemium + enterprise, direct + institutional, product-led growth + sales-led). You understand how individual adoption influences institutional decision-making and vice versa
- Experience designing and analyzing A/B tests or other experiments. You can frame hypotheses, design clear tests, and interpret results
- Comfort with modern analytics platforms and BI tools. Familiarity with Sigma, Looker, Mixpanel, or similar is a plus. We care more about your ability to learn tools quickly than whether you've used our exact stack
- You use AI tools proactively and hold AI-assisted work to the same bar as your own
- A track record of learning new domains and becoming an expert quickly. You don't need to know CDS or healthcare IT today, but you should want to understand how it works
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