Manager, Business Analyst, Global Catalog Operations
Amazon
5 - 10 years
Bengaluru
Posted: 28/06/2025
Job Description
Global Catalog Operations is seeking a highly skilled and experienced Business Analyst to lead its Business Analytics team.
The successful candidate will be responsible for leading complex data analysis projects, developing and implementing process improvements, and communicating findings and recommendations to senior management through data visualizations and reports.
In this role, you will have the opportunity to make a significant impact on the efficiency and performance of our operations.
You will work closely with a talented and dynamic team to identify opportunities for improvement and optimize business processes through data
- driven insights.
Key job responsibilities
- Manage a team of business analysts to deliver to data analysis requests and generate insights for operations team and engineering partners
- Partner with technology leaders, program managers, operations leaders and internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality.
- Learn and understand a broad range of Amazon’s data resources and use them
- Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting
- Enable operations team in effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format.
Drive insights and action we can take to improve the customer experience
- Analyze and solve business problems with focus on understanding root causes and driving forward
- looking opportunities
- Perform statistical tests to establish trends, patterns, seasonality.
Use data mining, model building, and other analytical techniques to develop predictive models
- Establish relationship between output metrics and drivers to identify and control critical drivers to achieve the desired value of output metric.
- Write functional specs for tools and drive UAT based on business requirements
Basic Qualifications
- Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
- 5+ yrs of experience in a business analyst/data analyst/statistical analyst role
- 2+ leading a team of Business Analysts
- Highly skilled at querying relational databases, ability to pull from various sources and having done so in a business environment
- Experience in data visualization platforms
- Proven problem
- solving skills, project management skills, attention to detail, and exceptional organizational skills
- Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams
Preferred Qualifications
- Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
- Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)
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.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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