Tokyo Gartner Full time
Gartner Analysts create research, communicate it to clients, and support Sales in client retention and new sales. In this role, the Analyst will provide insight and actionable advice mainly to IT user organizations in the area of Data and Analytics. This Analyst will write about, present, and advise organizations; diagnose root causes of client challenges and advise on the best course of action. Director-level Analysts are responsible for interfacing almost continuously with IT leaders and other senior executives to foster deep and broad long-term relationships.

Key responsibilities include:

  • Analyzing vendors, markets, technologies, best practices, and skills in Data and Analytics Strategy, Advanced Analytics and AI Architectures, Data Management Architecture, and Data Management Principles and Deployments.

  • Creating high-quality, clear, actionable research content based on research best practices and methodologies.

  • Applying expansive knowledge of Gartner research to help clients make smarter and faster decisions in areas such as identifying business and emerging technology trends, architecting and optimizing the technology landscape, scaling data and analytics platforms and ecosystems, managing D&A governance, quality, standards, and assets, and managing risk aspects of D&A.

  • Contextualizing other Gartner technology and business process research for the Japan market.

  • Providing high-quality and timely research peer review, mentorship, and support to team members.

  • Presenting at Gartner, industry, and client events.

  • Supporting Sales and Service Delivery partners to drive account growth and retention as well as client demand for Gartner's research.

  • Actively participating in or leading research community meetings as needed to discuss research issues and collaborate effectively with peers.



Requirements include:

  • Native-level Japanese and business-level English language skills.

  • Bachelor's degree or equivalent professional experience.

  • 15+ years of experience in designing, building, and testing large-scale data warehouses, data lakes, and/or data hubs, preferably in a mixed cloud and on-premises environment.

  • Evaluating and recommending data management tools and services such as DBMS, data integration, and metadata management.

  • Experience in machine learning and/or AI is a plus.

  • Experience in developing data security and privacy guidelines and/or standards is a plus.

  • Strong written and verbal communication skills, and the ability to explain complex ideas effectively.

  • Strong analytical and presentation skills; ability to engage clients and respond to questions effectively.

  • Strong C-relevance and executive presence.

  • Genuine curiosity to new technologies and market trends. Willingness and ability to do tremendous learning in the long term.

  • Ability to work independently, while also with excellent people skills and collaborating internationally.

  • Proficient in distilling data or information to identify key findings.



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