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Marketing Executive - Amazon Fresh, Amazon Fresh

职能市场营销
级别中级
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 Fresh is Amazon’s hyperlocal basket-grocery business, offering a large selection of fruits & vegetables, grocery & everyday products to customers – delivered within 2 to 4 hours. Officially launched in Nov 2021, Amazon Fresh is available in 100+ cities across the country. Our mission is to be the most loved online grocery service for our customers - offering great savings on high quality products, delivered reliably at customers’ convenience.

We are one of the fastest growing Amazon businesses in India, and aim to accelerate this growth trajectory over the next few years. And to drive this accelerated growth, we are looking for highly motivated and experienced professionals, who would love to be part of this exciting journey.

  • Key job responsibilities
  • Design and implement promotions and cashback initiatives across different categories on Fresh to drive customer acquisition and engagement.
  • Developing store-wide promotions and working closely with traffic, merch and category team to schedule and execute them
  • Developing, testing and analyzing new promotion constructs to increase conversion rates and sharing them within the organization. Experimenting & optimizing promotion constructs to increase overall business impact.
  • Coordinate with internal teams to create engaging promotion experience for events (such as SVD, Prime Day or Jupiter).
  • Configuring promotions targeted across target cohorts, managing project execution, testing ideas, creating campaigns, analyzing data, solving problems.
  • Analyze performance results to drive improvements in the program. Use data to understand customer behavior and inform new projects. Constantly deriving learning from campaigns/promotions across different cohorts, establishing best practices and efficient processes.
  • Provide complete performance reporting and analysis on projects and take relevant action on insights gained.
  • Partner and coordinate with product team to launch tests and campaigns
  • Audit monthly/quarterly spends, monitor effectiveness and provide insights on gap to goal
  • This role requires a high degree of stakeholder management and provides exposure across departments.

Basic Qualifications

  • Bachelor's degree or equivalent
  • Experience with data analysis and basic Excel skills

Preferred Qualifications

  • Master's degree or equivalent
  • Knowledge of a varied set of software and editing tools (including HTML, Excel, image editing software, SQL)
  • Atleast 1+ year(s) in designing Customer facing e Commerce stores and managing multiple competing priorities to provide the best outcomes

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

L2

L6

L3

L4

L5

L2 · Marketing L2

0份报告

$127,325

年薪总额

基本工资

$50,930

股票

$63,663

奖金

$12,733

$89,128

$165,523

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