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Category Marketing Manager, IN Apparel

Amazon

Category Marketing Manager, IN Apparel

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Paid Time Off

Parental Leave

Mental Health

Healthcare

401k

Parental Leave

Mental Health

Required Skills

Marketing

Excel

Data Analysis

Tableau

Campaign Management

Amazon.in Fashion team is seeking a creative, analytical, and highly motivated Category Marketing Manager to develop, execute, and evaluate merchandising, marketing, and site experience.
1.The successful candidate for this high impact role should :
2.Own all key traffic drivers for the category/ line of business, and work as a category advocate with central traffic teams.
3.Possess a deep understanding of all traffic-driving mechanisms (Onsite merchandising, Search, Social media, Push notifications, Performance marketing etc.) and actively engaging in optimization of those channels for the business.
4.Analyze customer cohorts and drive initiatives to improve growth key cohorts.
5.Collaborate with internal teams and brands to drive experiments on brand funded coupons, gamification and influencer marketing.
6.Conduct in-depth analyses to determine program effectiveness, continuously improving programs and site initiatives.
7.Develop the category’s style guidelines, merchandising calendar, promotions, and packages for brand promotions.
8.Audit traffic funnel and provide weekly/ monthly insights on gaps to topline goal.
9.Present to senior management externally and internally.
10.Drive customer lifecycle management activities including customer acquisition, retention to drive growth
11,Do planning for category marketing P0 metrics and budget
12.Drive monetization of marketing inventory to scale engagement with brands and grow them
Meet business goals while ensuring a top-notch customer experience.

Basic Qualifications

  • 3+ years of professional non-internship marketing experience
  • Experience using data and metrics to drive improvements
  • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
  • Experience building, executing and scaling cross-functional marketing programs
  • Experience using Microsoft Excel to manipulate and analyze data
  • Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion

Preferred Qualifications

  • MBA
  • Experience using customer research, hard data and metrics to back up assumptions, generate forecasts, and assess the efficacy of marketing programs
  • Experience utilizing systems and tools involving email, web, analytics, and CRM (Marketo, Tableau, Salesforce, etc.) for targeting, segmentation, reporting for demand generation

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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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Marketing L2

0 reports

$127,325

total / year

Base

$50,930

Stock

$63,663

Bonus

$12,733

$89,128

$165,523

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge