Senior Data Engineer, Cloud & Analytics
ADEAL Systems GmbH
Build cloud, data, and analytics solutions for ADEAL Systems, taking technical ownership of architecture, data pipelines, and customer projects.
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Gartner एक वैश्विक शोध और सलाहकार संस्था है, जो उद्यमों के नेताओं को अत्यंत महत्वपूर्ण प्राथमिकताओं पर सूचित निर्णय लेने में सहायता करती है। इसका कार्य प्रौद्योगिकी, वित्त, मानव संसाधन, कानूनी मामलों, विपणन, बिक्री और उत्पाद रणनीति जैसे क्षेत्रों में विशेषज्ञ विश्लेषण, परामर्श, कार्यकारी मार्गदर्शन, शोध और डिजिटल बाज़ार सेवाओं को एक साथ जोड़ता है। Gartner 40 से अधिक सम्मेलनों का आयोजन भी करता है और संगठनों को प्रौद्योगिकी निवेश बेहतर बनाने की सलाह देता है। इसकी टीमें एक हाइब्रिड मॉडल के तहत काम करती हैं, जिसे विविध और अंतरराष्ट्रीय कार्यबल के बीच सहयोग को समर्थन देने के लिए तैयार किया गया है। यहाँ ग्राहक सेवाओं, परामर्श, शोध, सलाहकार सेवाओं, प्रौद्योगिकी और कॉर्पोरेट कार्यों सहित विभिन्न क्षेत्रों में करियर के अवसर उपलब्ध हैं।
Client Success Manager - Gartner (Hybrid)
Manage Gartner client relationships, retention, and service value. Help business leaders apply actionable insights to achieve stronger outcomes from Gartner services.
विवरण
- Manage relationships with Gartner clients across seniority levels, functions, and organizations
- Meet with clients virtually to understand their business priorities
- Recommend action plans that increase service value, retention, and return on investment
- Partner with Gartner colleagues to strengthen the value delivered to clients
- Help clients achieve returns that substantially exceed their investment in Gartner services
- Translate client priorities into effective support through their purchased Gartner services
आवश्यकताएँ
- Business-level fluency in English
- At least three years of relevant professional experience
- Strong customer service, communication, collaboration, prioritization, critical thinking, and influencing abilities
- Bachelor’s degree preferred
लाभ
- Comprehensive benefits package
- Competitive compensation
- Additional rewards for high-performing employees
- Hybrid flexibility, including virtual work when productive and in-person collaboration with colleagues
- Opportunities for professional development
- Access to AI-related resources, expertise, and technology
- Equal employment opportunity
- Reasonable accommodations for qualified individuals with disabilities
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