Remote Product Manager II, Analytics for Healthcare Education

RELX INC

Carson City (NV)

Remote

USD 95.000 - 159.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

RELX INC is seeking a Product Manager II, Analytics to improve analytics experiences for customers and internal teams across our Healthcare Education portfolio. You’ll own initiatives from discovery through launch, collaborating with cross-functional partners to turn data into practical solutions, and contribute to AI-enabled analytics with a focus on trust and usefulness.

You’ll translate complex data into clear product requirements, prioritize backlog, and track adoption and impact, while

Qualifikationen

  • 3+ years of product management, analytics, data products, or related field.
  • Experience delivering digital products from requirements through launch.
  • Familiarity with analytics, data products, or AI-enabled products.
  • Strong communication, collaboration, and problem-solving in agile environments.
  • Healthcare, education, healthcare education, or enterprise software experience a plus.

Aufgaben

  • Own analytics features and initiatives from discovery through delivery, launch, and iteration.
  • Clarify user problems and goals via research, feedback, and data.
  • Prioritize opportunities based on value, impact, effort, and dependencies.
  • Translate needs into product requirements, user stories, and acceptance criteria.
  • Partner with Product, Engineering, Data Science, UX, and customer-facing teams to launch solutions.
  • Identify ways analytics and AI can simplify workflows and surface insights.

Kenntnisse

Product management
Analytics
Data products
Agile
Cross-functional collaboration

Jobbeschreibung

RELX INC is seeking a Product Manager II, Analytics to improve analytics experiences for customers and internal teams across our Healthcare Education portfolio. You’ll own initiatives from discovery through launch, collaborating with cross-functional partners to turn data into practical solutions, and contribute to AI-enabled analytics with a focus on trust and usefulness.

You’ll translate complex data into clear product requirements, prioritize backlog, and track adoption and impact, while

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