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Amazon Sr. Business Operation Manager, Paid Services in Tokyo, Japan

Description

Amazon Marketplace Paid Services (AMPS)

Interested in innovating to deliver world-class service to Amazon's Selling Partners? The Amazon Marketplace Paid Services (AMPS) program is designed to enhance the customer and Seller experience in Selling on Amazon through Merchant Consultants (MC) working directly with Sellers to increase the value, choice, and convenience of their business. Our team will invent and innovate across technology, process and people to grow the programs, improve Selling Partner engagement and satisfaction, and enable global solutions by working directly with US, EU and China teams. AMPS is looking for a dynamic and motivated Business Operation Manager to help develop and grow our Paid Services business. The Business Operation Manager is responsible for maximizing MC productivity by clearly defining priorities and improving efficiency through automation. You will be expected to develop improvement plans to achieve overall business results based on a thorough analysis of the gap between now and the future. The ideal candidate will be comfortable influencing stakeholders and senior leaders, have strong analytical skills, a track record of using data and tools to drive business growth and be comfortable working in an ambiguous environment.

Key job responsibilities

  • Create and automate SP business performance reports providing accurate and reliable data.

  • Develop business analysis tools for Sales teams.

  • Define analytical approaches to complex or ambiguous business requirements, derive business insights from multiple data sources, and make recommendations.

  • Build the mechanism to track MC time-management to increase SP-facing time by structuring MC input, define value/added, non-value type, and plan for enhancements.

  • Drive key initiatives for improving MC productivity and quality through the partnership with multiple teams.

  • Build the enhanced process to enable recommend the prioritized service offering per SP (e.g. deals, selection, other services), and track the SP-level business performance for Sales team to achieve SP-level goals on growth and service lever adoption.

  • Define and build key input to be tracked (SP performances, MC productivity to build correlation to our output goal of satisfaction).

  • Collaborate with global teams on key initiatives. Learn from global best practices, optimize and deploy them in Japan.

We are open to hiring candidates to work out of one of the following locations:

Tokyo, 13, JPN

Basic Qualifications

  • BA/BS degree or equivalent experience

  • Hands-on experience creating complex, highly optimized SQL queries from large data sets (+5 years)

  • Python implementation experience

  • 3+ years of experience analyzing data in business or finance

  • Experience defining requirements and using data and metrics to derive business insights

  • Superior communication and presentation skills

  • Ability to thrive in an ambiguous environment

  • Experience in project lead involving global teams

  • Business English/Japanese skills in speaking, writing and reading (Need to attend the meeting, lead discussions, and write documents)

Preferred Qualifications

  • MBA

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or equivalent

  • Experience in Data Engineering, Business Intelligence

  • Dashboard design/operation experience in BI tools (Quicksight, Power BI, Tableau, etc.), RDB design/operation experience, CRM/SFA knowledge

  • Financial knowledge of understanding business from P/L, B/S point of view

  • Experience in building large-scale machine-learning models

Please check the website below for measures to eliminate unwanted second-hand smoking in each facility:

https://www.amazon.jobs/en/landing_pages/passivesmoking

就業の場所における受動喫煙を防止するための措置に関する事項については、下記リンク先をご覧ください。

https://www.amazon.jobs/jp/landing_pages/passivesmoking

The salary information can be provided individually prior to the 1st interview

賃金に関する条件は、1次面接の前に個別にご案内することができます

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