採用
- Associate
- Site Merchandising (Level 3)
Job Description:
Amazon's vision is to enable customers globally to find, discover, and buy anything online.
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We are looking for a smart, results-oriented Associate
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Site Merchandising to be a part of growing our business. The successful candidate will be responsible for planning and executing best in class site and email merchandising strategies. This role is based in Bangalore.
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As a Associate
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Site Merchandising you will ensure that customer experience and expectations are set and met to a high standard. He or she will execute and schedule content on emails, home pages, category pages, and pages across the site based on the instructions/inputs shared by Site Merchandiser. Also prepare a report on performance and traffic data to our management teams. He or she will assist in creation of new brand and product stores based on the inputs of the Site Merchandiser. This person will be involved in coordinating with the category managers, designers, and other editors in similar roles across the business.
Main responsibilities will include:
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Coordinate with multiple teams to provide thorough and authoritative category creative content
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Owning sections of store merchandising and curations
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Running and analyzing proof of performance reports
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Learning Merchandising tools and widgets
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Assist execution of the plan as per site merchandising calendar. This includes email programs, new product launches, cross-category placements, developing and executing Amazon site-wide events, browse tree design and search results
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Assist in developing merchandising for large storewide promotions, and work closely with category managers and merchandizing team to schedule promotions
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Support the creation of emails, category pages, brand stores, campaigns, and develop and manage free search improvement projects
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Synthesize and analyze relevant content/traffic metrics
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The Associate
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Site Merchandising must be able to think and act both strategically and tactically. The ideal candidate will demonstrate the following:
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Designing and executing online campaigns which improve customer experience
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Strong communication skills; experience in coordinating teams and communicating to Category Managers
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Strong bias for action and ability to prioritize
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Ability to use hard data and metrics to back up feature and customer segment recommendations
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Working independently on key deliverables
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Aptitude for organization, flexibility and producing results in a fast paced environment
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Capability to meet our technical requirements, which include HTML, XML and Excel, plus the ability to learn our in-house tools quickly
Basic Qualifications
- Bachelor's degree or equivalent
Preferred Qualifications
- Experience with data analysis and basic Excel skills
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
3.4
10件のレビュー
ワークライフバランス
2.3
報酬
4.2
企業文化
3.1
キャリア
3.8
経営陣
2.7
65%
友人に勧める
良い点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
6件の面接
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
ニュース&話題
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