Lead Product Analyst, CDS Adoption & Engagement

Wolters Kluwer N.V.

Waltham (MA)

On-site

USD 110,000 - 150,000

Full time

11 days ago
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Job summary

Wolters Kluwer Health's UpToDate CDS products rely on rigorous analytics to guide product decisions. In this role, you will help product teams understand clinician engagement, define success metrics, and build instrumentation and dashboards to monitor usage.

You will translate data into clear recommendations for product, leadership, and customer-facing teams, partnering with Product Managers to drive adoption and value.

Qualifications

  • 5+ years of experience in product analytics, data analytics, business analytics, product operations, or a related role.
  • Ability to write queries independently using SQL or comparable data-querying tools.
  • Experience building dashboards, recurring reports, or self-serve product analytics views.
  • Strong communication skills and ability to explain data clearly to non-technical stakeholders.

Responsibilities

  • Define and maintain adoption, engagement, funnel, and usage metrics for CDS products.
  • Query product usage data to analyze clicks, actions, user journeys, drop-offs, cohorts, segments, and usage patterns.
  • Analyze what users engage with, which interactions drive downstream action, and where workflows lose momentum.
  • Build dashboards and recurring views that help product teams monitor product performance and user behavior.
  • Partner with Product Managers to define success metrics for launches, pilots, MVPs, and experiments.
  • Identify insights that inform roadmap priorities, UX improvements, content needs, commercialization, and adoption strategies.
  • Help improve instrumentation and metric definitions so teams can rely on consistent, high-quality product data.
  • Translate analysis into clear recommendations for product, leadership, commercial, and customer-facing teams.

Skills

SQL
Dashboards
Communication
Product analytics

Tools

Event telemetry tools

Job description

Job Description

Help product teams understand how clinicians and care teams engage with UpToDate's clinical decision support products. At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As we continue to evolve our CDS and AI-enabled experiences, we need clear insight into what users engage with, which interactions drive meaningful action, where workflows lose momentum, and how product changes affect adoption and value.

What You'll Do
  • Define and maintain adoption, engagement, funnel, and usage metrics for CDS products.
  • Query product usage data to analyze clicks, actions, user journeys, drop-offs, cohorts, segments, and usage patterns.
  • Analyze what users engage with, which interactions drive downstream action, and where workflows lose momentum.
  • Build dashboards and recurring views that help product teams monitor product performance and user behavior.
  • Partner with Product Managers to define success metrics for launches, pilots, MVPs, and experiments.
  • Identify insights that inform roadmap priorities, UX improvements, content needs, commercialization, and adoption strategies.
  • Help improve instrumentation and metric definitions so teams can rely on consistent, high-quality product data.
  • Translate analysis into clear recommendations for product, leadership, commercial, and customer-facing teams.
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.
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