招聘

Category Growth Manager - India Global Selling (INGS), Seller Enablement
Bengaluru, KA, IND
·
On-site
·
Full-time
·
1mo ago
Required Skills
Excel
Data analysis
Sales
Category management
We are seeking an exceptional Category Growth Manager to join India Global Selling (INGS). INGS empowers individuals and businesses to expand their reach to customers worldwide. Since inception, Amazon India has enabled over $20B in global exports, helping businesses, exporters, D2C brands, and entrepreneurs scale their products to international markets.
We are looking for a self-driven, seasoned individual to join our team. In this role, you will build comprehensive category insights, develop data-driven selection strategies, support cross-functional teams with deep-dive analysis, and significantly enhance category performance through advanced Excel-based analytics and reporting.
- Key job responsibilities
- Build comprehensive category insights through advanced data analysis using available tools and systems to identify growth opportunities and performance trends
- Develop data-driven selection strategies to support business teams through insights on customer demand patterns, launch performance metrics, selection launches, category trends and business data to guide what products to launch and prioritize
- Support business teams with deep-dive analytical requests, providing detailed insights on category performance
- Create and maintain sophisticated analytical dashboards, reports to track category KPIs and business metrics
- Transform complex datasets into clear, actionable insights through advanced Excel functions, pivot tables, data modeling, and visualization techniques
- Collaborate with business team, marketing, and other regions to enhance quality of inputs
Basic Qualifications
- 3+ years of sales experience
- Experience analyzing data and best practices to assess performance drivers
- Experience closing sales and generating revenue
- • 3+ years of hands-on experience in category management, account management, or related business roles with proven track record of building insights-driven recommendations
- • 7+ years of advanced Excel experience including complex formulas, pivot tables, data analysis, macros, and dashboard creation
- • Experience building comprehensive data analysis, selection strategies, and supporting business teams with analytical deep-dives using available tools
- • Strong ability to communicate complex insights effectively and influence business leaders through compelling data storytelling and presentations
Preferred Qualifications
- • Experience in e-commerce category management, account management, or business operations with focus on data-driven decision making
- • Demonstrated expertise in advanced Excel modeling, data analysis techniques, and working with large-scale business datasets
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
PublicAmazon.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%
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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
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Stock
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$89,128
$165,523
Interview Experience
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Difficulty
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/ 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
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