11 дней назад
Customer Success Consultant (SME) Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Consultant (SME) Analytics (Analytics, Bibliometrics, AI): Supporting customers in adopting and maximizing the value of Elsevier analytical products such as SciVal and Scopus with an accent on advanced solutioning, research evaluation, and consultative guidance. Focus on solving complex customer use cases, applying bibliometric and scientometric expertise, and coordinating escalations and product improvements across teams.
Location: London Wall, London, United Kingdom
Company
provides information, analytics, and data solutions for research, healthcare, education, and clinical practice.
What you will do
- Support adoption and advanced use of Analytical Products, including SciVal and Scopus.
- Provide advanced consultation, solution design, advisory support, training, and thought leadership to customers.
- Apply bibliometric, scientometric, research evaluation, and scholarly publishing expertise to complex customer needs.
- Use knowledge of AI solutions and the generative AI landscape to address relevant customer and business requirements.
- Support complex customer escalations and collaborate with Product, Support, Sales, Marketing, Customer Success, and Customer Education teams.
- Share customer and market insights to improve products, learning resources, engagement plans, renewals, and account growth.
Requirements
- Strong knowledge of Analytical Products; Engineering Products knowledge is an advantage.
- Background in research analytics, bibliometrics, scholarly publishing, information science, data analysis, computer science, or a related field.
- Understanding of A&G customer needs, workflows, and the scholarly research and publishing ecosystem.
- Strong consultative, customer success, stakeholder-management, strategic-thinking, and problem-solving skills.
- Excellent analytical, data storytelling, presentation, and communication skills, with the ability to work autonomously and collaboratively.
- Strong English skills required; experience with or similar analytical and AI solutions and an international matrix organisation.
Culture & Benefits
- Flexible working hours to support productivity and work-life balance.
- Wellbeing initiatives and shared parental leave.
- Study assistance and sabbatical opportunities.
- Country-specific benefits and support for long-term professional goals.
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