Key Areas of Responsibility:
Duties and Responsibilities: Teradata is looking for a highly motivated consultant to join our Teradata Korea Presales sales team, specially focusing analytic domain. Applicants should have a proven track record within the analytic and statistical jobs, Hadoop, R. java and python technical jobs. A primary focus on, but not limited to, quality and warranty manufacturing and hi-tech industry. This position will combine presales activities and industry positioning responsibilities.
• Clarify the business problem for the purpose of data analysis.
• Translate the business requirements into technical requirements.
• Translate the requirements into existing MapReduce functions or help design new MapReduce functions to meet the requirements.
• Work closely with the client teams to generate insights, diagnose problems, and provide information for business and product decisions by transforming very large data sets into actionable information.
• Build and maintain tools and ation to enable the consumption of data by the platform team and the entire company.
• Perform both regular and ad-hoc analysis leveraging a wide array of data tools.
• Interpret and the analysis and results, and communicate the information effectively to the client.Develops strong client relations and helps the Teradata sales team grow business in the industry, both within existing accounts and in support of new account development
• Developing presentations and materials to support sales and consulting engagements
• Supporting sales calls and consulting engagements
• Experience with large data sets and distributed computing with MapReduce (Teradata Aster, Hadoop, Hive, Pig, etc.).
• Explore – base skills in statistics, algorithms, machine learning, and mathematics. A solid grounding in these principles is required to actually extract signals from the data and build things with it.
• Build – experienced with at least one programming language, preferably Java. While advanced coding techniques are not required, the candidate needs to be aware of the open source libraries and packages available.
• Communicate – making the results real by making data available to users. This involves communicating the results of analysis clearly and effectively to both business and technical users in presentations. Lead the discussion and guide the integration of the data visualization layer with the underlying platform to best showcase the output of the data.
• In depth knowledge of statistics and mathematics.
• Computer Science or related mathematics background to have the math and statistics knowledge required for data science.
• In depth knowledge of analytical toolsets.
• Experience building software is a plus.
• Knowledge across multiple industries is a plus.
• Ability to initiate and drive projects to completion with minimal guidance
• Knowledge of Architecture Principles, Advocated Positions, Design Patterns, and Implementation Alternatives.
• Understanding of the Teradata Reference Information Architecture.
Education / Experience Requirements:
* We seek candidates with 1 - 2 years’ experience in the data analytic and big data area:
- Experience in data mining
- Experience in data visualization
- Experience in data model
- Experience in java and/or python programming,
- Experience in MapReduce, R and/or Statistics packages
- Experience in Visualization tool like spark, mstr …
- Experience in customer and consumer management and insight in an automotive environment
* Strong project management capabilities, ability to manage multiple projects concurrently
* Strong analytical skills, ability to quickly and accurately assess new situations and identify potential
approaches and/or solutions to complex, multi-disciplinary problems.
* Strong presentation skills
* Enthusiastic, high-energy individual, self-starter and self-motivated
* Bachelors degree required
* Good English language skills essential
* 20 – 50% travel to customer locations within Korea required
* Follows future trends/changes in the industry and has the ability to articulate these to customers
* Client interfacing, relationship building, and consulting skills
* Excellent oral and written communication, and presentation skills
* Strategic Planning and Thinking
Summary Description: This position will help drive growth in Teradata’s data analytics sector in Korea, which will contribute significantly to building our experience and knowledge base in the wider Asian area. This position will combine presales activities and industry positioning responsibilities. This position resides within the Teradata Korea Country presales team and will have a close linkage with the Regional Centre-of-Expertise (CoE).
Company and Division Overview
Teradata offers powerful, analytical solutions that help businesses proactively manage their businesses and drive growth. Teradata™ solutions include the Teradata data warehouse and database, analytical applications, and services.
- Built on a proven, world-class methodology, Teradata data warehouse services support data warehouse strategy development, planning, design, implementation, support and enhancement. Over 2,000 consultants, with an average of 15+ years of experience, deliver Teradata solutions in 130 countries.
Businesses worldwide choose Teradata for its proven expertise in data warehousing, commitment to excellence and innovation, and best-in-class technology. To learn more, go to http://www.teradata.com
In the 21st century, enterprise intelligence is the basis for competitive advantage. And the companies who can differentiate themselves through precision decision making will win. Teradata helps companies make faster, better decisions to drive profitable growth. With Teradata's enterprise data warehousing and analytical solutions, you can harness the power of your enterprise intelligence to create a single view of your business, reduce costs and enhance relationships. Only Teradata gives you the ability to integrate detailed historical information with near real-time data, so you gain the deeper insight needed to take more effective actions.
|
HOME | 커뮤니티 | 자유게시판
