Business Analyst, Catalog Support and Operations, GCO
AI in this role
Leverages data mining and business analysis to discover insights and improve Amazon's product catalog quality.
Key job responsibilities
In this role, the BA will be responsible for leveraging data driven approach to proactively identify opportunities to improve the quality of Amazon’s catalog by performing the following:
• Partner with technology leaders, program managers, operations leaders and other internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality.
• Define, design, measure and present metrics / reports on different programs to Senior Management.
• Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting
• Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Develop solutions that utilize the highest standards of analytical rigor and data integrity.
• Analyze and solve business problems for understanding root causes and driving forward-looking opportunities
• Propose optimal techniques to sample massive product catalog for humans to audit different dimensions of data quality issues
• Establish relationship between output metrics and drivers in order to identify critical drivers and control critical drivers.
• Ability to write functional specs for tools and drive UAT for business requirements
A Business Analyst will use the following tools -
- SQL (Oracle/Redshift)
- Excel Advanced
- Tableau/Quicksight
- AWS
- Python
About the team
High quality data powers unrivalled product discovery, informs customer buying decisions, offering a large selection. The quality of Amazon’s product catalog is one of the most significant controllable inputs into building great customer experiences. Now take the world’s largest product catalog and imagine how you could influence the experience for millions of customers on the world’s largest e-commerce site. Amazon’s Catalog Quality group own catalog quality. We combine customer behavior and expert knowledge to identify pathologies, define quality standards, and measure the state of the catalog. We build scalable solutions which improve both buying and selling experiences at Amazon.
Basic qualifications
- 1+ years of tax, finance or a related analytical field experience
- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
Preferred qualifications
- Experience working with Tableau
- Experience using very large datasets
- Experience using Python or R for data analysis or statistical tools such as SAS
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.
How we score this
Business Analyst, Catalog Support and Operations, GCO at Amazon scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where business analysis was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Mining, Predictive Modeling, Business Analysis, Etl, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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