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Learning Experience Associate, Finance-as-a-Service(FaaS)

职能HR
级别应届/初级
地点Bengaluru, KA, India
方式现场办公
类型全职
发布2周前
立即申请

Amazon FAAS (Finance-as-a-Service is looking for a Learning Experience Associate to create, execute and manage effective training and communication strategies for the business. The ideal candidate must be self-driven with a high degree of ownership and have good business acumen, good communication skills, and planning/program management skills. They must thrive in a fast-paced environment and have a demonstrated capacity to balance speed and quality. Learning Experience Associate will be responsible for the end-to-end delivery of information design for L&D team. The Learning Experience Associate will work closely with SME’s, operation teams and other stakeholders to create impactful content, training approach. The role requires an individual who is knowledgeable in adult learning and instructional design strategies for performance-based outcomes, who can innovate, and move quickly. It would be an added advantage if the candidate is an good writer/content developer with the ability to convey complex ideas and information in easy-to-read, easy-to-follow, customer-focused narratives.

  • Key job responsibilities
  • Produce learning design plans.
  • Devise content strategy for new learning pathways and topics based on research, content gaps, and existing content performance.
  • Lead projects through the design lifecycle from scoping, research and analysis, design, development, and launch; providing clear timelines through all phases, communicating with key partners, and selecting appropriate measurement for successful implementation.
  • Develop Story Boards for Prototypes/Pilots. Set instructional end goals, create engaging learning activities and compelling course content.
  • Responsible for the quality of content across various internal team wikis and other documents. Perform self-reviews and ensure process adherence.
  • Work with trainers, other LXDs and subject matter experts to address gaps in content coverage, identify target audiences training needs and ask great questions to advocate user experience.
  • Provide exercises and activities that enhance the learning process. Create supporting material/media (audio, video, simulations, role plays, games etc.).
  • Devise modes of assessment, such as tests or quizzes, to measure the effectiveness of the course.
  • Communicates effectively in visual, oral, and written form with basic knowledge on authoring style guidelines.
  • Experienced in managing various Learning/Knowledge/Content Management systems.

Basic Qualifications

  • Experience with written and verbal communication and presentation
  • Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook)
  • Bachelor's degree or equivalent

Preferred Qualifications

  • Speak, write, and read fluently in English

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Intern

L3

L4

L5

Junior/L3 · Warehouse

1份报告

$30,509

年薪总额

基本工资

$23,546

股票

-

奖金

-

$30,509

$30,509

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge