Training Program Manager

Training Program Manager

Amazon
Beijing China
3-6 years
Not Specified

Job Description


Job Description :
External Job Description 
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
To meet the growing demand for AWS Services across the globe, we need exceptionally talented, bright, and driven people. If you have excellent organizational and communication skills, a passion for working in a fast paced, dynamic environment and a desire to provide exceptional customer service, we’d like to speak with you!
Here's your chance to join our Training & Certification team working in the role of Training Operation Specialist. In this role, you will provide data analyst support to business strategies and the day to day operations of our China training team.
The successful candidate will possess the ability to automate and improve data pipelines, analytical and reporting processes. Focus is on BI solution resilience, maintainability, operational excellence and data quality. Take initiative to complete complex tasks and projects quickly and autonomously, react with appropriate urgency to situations that require a quick turnaround, switch gears at a moment's notice, and take effective action without having to know the total picture.
Responsibilities:
· Analyze data from field teams, training pipeline and revenue, end to end contract process from quotation to invoice.
· Automate manual process locally in day-to-day business practice including training scheduling, student registration, resource planning, billing, vendor management, logistic fulfillment, budget management etc.
· Support business review and planning from intelligence perspective, dive deep into data to provide business insight; Generate monthly and quarterly training business metrics report by consolidating the data from both online and offline.
· Participate or lead training & certification regarding programs for Greater China from operational perspective.
· Work closely with Global Ops team organization, being Point of Contact representing Greater China Operation Data Analyst to ensure consistent and sufficient information exchanging; Understand local business challenges and voice out for GCR, come out feasible solutions and achieve agreement with global team.
1. Basic Qualifications
Basic Qualifications 
Requirements:
· Minimum of 3 years of MNC experience in an education or IT industry
· Advanced knowledge in a variety of industry analytics and metrics visualization tools (e.g., MySQL, Tableau//PowerBI)
· Understands one or more scripting languages (e.g. Python, R, Shell) in order to update or troubleshoot existing scripts for basic BI use cases (e.g. data transformations, statistical tests and analyses, process automation).
· Knowledge of engineering and operational excellence best practices. Can make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).
· Strong skill set with success track record of managing multi-tasks simultaneously, be used to work cross teams and regions, with ability and be comfortable to support multi-stakeholders.
· Extremely high attention-to-detail.
· Detailed planning, time management and organizational skills are required.
· Exceptional written, verbal, and interpersonal communication skills in English.
· Positive, proactive and able to always exercise great judgment.
· Ability to work in a highly ambiguous environment.
2. Preferred Qualifications
Desired:
· Knowledge and/or hands-on experience with a Learning Management System (LMS).
· Has a deep understanding of data lineage and has experience to apply: the technical systems by which data is generated; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.
· Knowledge/Understanding of Cloud Computing and/or AWS will be considered a bonus.
Basic Qualifications :
Basic Qualifications 
Requirements:
· Minimum of 3 years of MNC experience in an education or IT industry
· Advanced knowledge in a variety of industry analytics and metrics visualization tools (e.g., MySQL, Tableau//PowerBI)
· Understands one or more scripting languages (e.g. Python, R, Shell) in order to update or troubleshoot existing scripts for basic BI use cases (e.g. data transformations, statistical tests and analyses, process automation).
· Knowledge of engineering and operational excellence best practices. Can make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).
· Strong skill set with success track record of managing multi-tasks simultaneously, be used to work cross teams and regions, with ability and be comfortable to support multi-stakeholders.
· Extremely high attention-to-detail.
· Detailed planning, time management and organizational skills are required.
· Exceptional written, verbal, and interpersonal communication skills in English.
· Positive, proactive and able to always exercise great judgment.
· Ability to work in a highly ambiguous environment.
Preferred Qualifications :
Preferred Qualifications
· Knowledge and/or hands-on experience with a Learning Management System (LMS).
· Has a deep understanding of data lineage and has experience to apply: the technical systems by which data is generated; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.
· Knowledge/Understanding of Cloud Computing and/or AWS will be considered a bonus.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. For individuals with disabilities who would like to request an interpreter or any support on-site, please inform our team.
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