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Learning Experience Associate, Finance-as-a-Service(FaaS)
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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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社 所在地
$1.5T
企業価値
レビュー
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
知人への推奨率
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
Junior/L3
L2
L6
M3
M4
M5
M6
Intern
L3
L4
L5
Junior/L3 · Warehouse
1件のレポート
$30,509
年収総額
基本給
$23,546
ストック
-
ボーナス
-
$30,509
$30,509
面接レビュー
レビュー6件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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