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Solutions Architect , Analytics Specialist Job in Tokyo


06-22 Solutions Architect, Analytics Specialist/ソリューションアーキテクト


Information & Technology

10-12 million
Seeking a professional Solution Architect, Analytics Specialist who must be professional and have excellent communication skills to talk to C-level people with strong technical background and strategic thinking ability for business, product and technical challenge.
This person will be an expert of Big Data Analytics that customers need to build applications and services on our platform and also work on business development and sales activities as a key member.

1. Technical and analytical, and possess 5-10 years of business development experience.
2. In-depth understanding of application/system for big data utilizing open source software such as Hadoop and their construction and operation process.
3. In-depth understanding of tools and organization to realize the construction/operation and experience in designing, constructing and operating the system utilizing them.
4. Architect/tuning and operation experience of analytics system utilizing distributed database.
5. Project experience/knowledge of BI and DWH.
6. Experience and knowledge of statistics and machine learning.
7. Excellent verbal and written communication skill required
8. High motivation to work on technical requirements cross-organizationally.
• Native level of Japanese and business level of English (Reading & Writing)
• Mandatory degree in science and engineering. Computer science or mathematics is strongly desirable. Practical knowledge and technology of software development is strongly desirable

Preferred Qualifications
• Experience in building up services in cloud and/or virtualization environment
• Experience in installing Query language
• Knowledge and experience in handling R language
• Knowledge and experience of server side application development with Java, PHP, Ruby, Python, Go, .NET, Node.js
• Experience in handling E-discovery or experience in working on pre-sales, consultation, definition requirements, design, installing, test and troubleshooting etc
• Social science data, natural science data, medical data, experience of earth observation data analysis. Or experience of conducting pre-sales, consultation, requirements definition, design, implementation, testing, fault handling and a wide range of activities to those customers.
• Experience in presenting to CXO level customers