Ordina 7 offerte di lavoro
Tipo di contratto
Tempo indeterminato (3)
Orario di lavoro
Full-time (3)
Offerte di Lavoro Customer Service Specialist in Provincia di Pisa
1 - 7 di 7
Risultati di Ricerca - Lavoro Customer Service Specialist in Provincia di Pisa
Ion Group-Pisa
We are looking for a Service Specialist that will be involved in the current and future delivery support and maintenance of services. You will play a key role in assisting customers both from a technical and functional point of view.
The Service...
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2 offerte simili: Torino, Milano
TELUS Digital Bulgaria-Pisa
your next career move abroad? If your answer is YES - join the leader in the CX (Customer Experience) industry TELUS Digital Bulgaria! As a Digital Trust and Safety Specialist with Italian and English you will: - Review user-generated back-office...
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Enapter S.r.l.-Pisa
business case to ensure competitiveness in the market while maximizing profitability.
• Customer Engagement: Engage with customers through the Technical Service Team to gather feedback, understand their needs and pain points, and incorporate insights into...
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TELUS Digital Bulgaria-Pisa
TELUS Digital Bulgaria is a publicly traded company (NYSE &, TSX: TIXT) and is the largest employer in the CX (Customer Experience) industry in the country with over 4,200 team members. The company provides a broad portfolio of services - designing...
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Enapter S.r.l.-Pisa
Customer Engagement: Engage with customers through the Technical Service Team to gather feedback, understand their needs and pain points, and incorporate insights into product development and improvement efforts.
• Risk Management: Identify and mitigate...
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Avaloq-Pisa
wealth management technology and services for financial institutions around the world' including private banks and wealth managers' investment managers' as well as retail and neo banks. Our research led approach and continual innovation is powered by the...
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Enapter S.r.l.-Pisa
solutions for stakeholders, such as Customers, R&D, Sales and Customer Service; - Develop predictive models using machine learning and/or deep learning techniques; - End-to-end management of analytical projects: from ingestion to visualization, through data...
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