Amazon

Senior Analytics Consultant

3+ months agoTokyo, Japan

DESCRIPTION

Are you an Analytics specialist with Data streaming, processing and warehousing experience? Would you like a career that gives you opportunities to learn and to innovate, and to help customers achieve operational excellence at lower cost? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? If so, come build with us!

At AWS Enterprise Support we are looking for a Specialist Technical Account Manager (STAM)Analytics to support our customers across Asia-Pacific, Japan and China (APJC). In this role you will have the opportunity to work and innovate collaboratively with other subject matter experts in the team. As a trusted advisor with technical expertise in Analytics, you'll deliver deep-dive technical engagements to proactively improve performance, reliability, security and cost-effectiveness of customers' solutions using AWS best practices, and help customers overcome complex operational and architecture challenges.

As an Analytics STAM, you will work hand-in-hand with Technical Account Managers, Solutions Architecture, Business Development, Professional Services and Service team. You'll also get to work closely with the service teams to help them evolve the services and address issues, concerns, and requests by capturing the customer's voice. This role will specifically focus on AWS Analytics Services such as Amazon EMR, Amazon Redshift, AWS Glue, Amazon Elasticsearch and Amazon Kinesis.

BASIC QUALIFICATIONS

• Fluency in Japanese language and the ability to communicate in English (oral and written) both in business and technical context.
• Possession of both technical and customer-facing skills enabling perception as a "trusted advisor" to customers. Ability to effectively across internal and external organizations and virtual teams
• In-depth working knowledge in any of the following: Data Warehousing (Cloud or traditional DW environments AWS Redshift, Teradata, Oracle, Exadata, Big Query), Big Data open source tools (Hadoop, Spark), Big Data proprietary tools (Hortonworks, Cloudera, EMR), Search/log analytics.
• Technical understanding of ETL/ELT principles and how to apply them within Big Data workloads.
• 5+ years industry experience in consulting, presales, professional service specifically supporting analytics initiatives.

PREFERRED QUALIFICATIONS

• Familiarity with Amazon Redshift, Amazon EMR, Amazon Elasticsearch, Amazon Athena, Amazon Kinesis and AWS Glue.
• Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto.
• Executive speaking and presentation skills Formal presentations, white boarding, large and small group presentations and delivering enablement sessions
• Ability to gain credibility and build relationships with all levels in an organisation, from technical experts to senior executives.
• Experience with cloud technologies including relevant industry certifications (e.g. AWS Solutions Architect Associate or Professional, AWS Certified Data Analytics - Speciality highly desirable)

Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Amazon は男女雇用機会均等法を順守しています。人種、出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/en/disability/jp/

#aws-jp-enterprisesupport #AWSJAPAN

Job ID: Amazon-1455210