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Catalog Lead, Item Data Quality

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

Catalog Lead, Item Data Quality

at Amazon

JuniorNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead research to understand customer and seller behavior and improve catalog data quality across Amazon and partner sites. Plan and conduct quantitative studies, identify opportunities, and translate insights into measurable customer experience outcomes aligned to business goals. Collaborate with product management, engineering, and program management to propose solutions, test them iteratively, and communicate findings to senior leadership; maintain documentation and drive the initiative forward in a fast-paced environment.

Are you interested in redefining the way our customers and sellers interact with catalog? Do you want to work on understanding customer and seller behavior, analyze the findings to create roadmaps for product and program development? If yes, then this opportunity will appeal to you.

Amazon Seller Services delivers product and programmatic solutions to improve catalog data quality spanning seller listing experience to customer purchase experience. We deliver insights into customer behavior and seller listing experience by creating a framework to map user experience across Amazon and other websites via discovery, competitive analysis, and benchmarking the process flows. These insights will fundamentally shape product discovery/purchase and continuously improve Amazon catalog experience for our customer and seller partners. We are looking for individuals who are highly adaptable in an ever-changing start-up environment. In this role you will work collaboratively with partner teams to ideate and deliver solutions. You will play an integral role in identifying user problems, crystallizing project vision, and defining strategies to inspire new ideas. You are expected to think fast, multi-task, stay focused on priority work and look for lightweight, innovative solutions to problems.

In this role you will be expected to think as a user, multi-task, stay focused on customer experience and invent and simplify to deliver customer insights based on various research activities that you will drive.

Key job responsibilities
In this role you will:

Define and execute research on user experience across Amazon and other websites via discovery, analysis, benchmarking, user task and goals identification, process flows, wire-frames, and mock-ups
Plan, conduct, and analyze quantitative studies, such as structuring and analyzing customer experience to evaluate the impact of product changes and capture insights at scale
Create opportunity frameworks that guide and influence business priorities and goals
Synthesize the data and conduct thorough analysis leading to focused, insightful, and actionable findings
Translate insights into measurable customer experience outcomes aligned to business goals
Advocate for our users throughout the development process and demonstrate how this leads to business value.
Articulate and communicate research insights and present your work to senior leadership
Create and maintain documentation for all the work you do
Work with product management, engineering, and program management teams to develop proposed solutions that address top gaps, and collaborate with teams to iteratively test these solutions until outcomes are achieved

Basic Qualifications

- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results, or experience delivering results for large, cross-functional initiatives/projects
- Experience in e-commerce product listing & catalog
- Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- 2+ years’ experience in catalog systems / eCommerce.

Preferred Qualifications

- Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc.
- Knowledge of SQL or Python
- Experience with A/B Testing or Multi-Variate Testing or both
- Experience guiding or managing user research and usability testing

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.

Catalog Lead, Item Data Quality

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

Catalog Lead, Item Data Quality

at Amazon

JuniorNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead research to understand customer and seller behavior and improve catalog data quality across Amazon and partner sites. Plan and conduct quantitative studies, identify opportunities, and translate insights into measurable customer experience outcomes aligned to business goals. Collaborate with product management, engineering, and program management to propose solutions, test them iteratively, and communicate findings to senior leadership; maintain documentation and drive the initiative forward in a fast-paced environment.

Are you interested in redefining the way our customers and sellers interact with catalog? Do you want to work on understanding customer and seller behavior, analyze the findings to create roadmaps for product and program development? If yes, then this opportunity will appeal to you.

Amazon Seller Services delivers product and programmatic solutions to improve catalog data quality spanning seller listing experience to customer purchase experience. We deliver insights into customer behavior and seller listing experience by creating a framework to map user experience across Amazon and other websites via discovery, competitive analysis, and benchmarking the process flows. These insights will fundamentally shape product discovery/purchase and continuously improve Amazon catalog experience for our customer and seller partners. We are looking for individuals who are highly adaptable in an ever-changing start-up environment. In this role you will work collaboratively with partner teams to ideate and deliver solutions. You will play an integral role in identifying user problems, crystallizing project vision, and defining strategies to inspire new ideas. You are expected to think fast, multi-task, stay focused on priority work and look for lightweight, innovative solutions to problems.

In this role you will be expected to think as a user, multi-task, stay focused on customer experience and invent and simplify to deliver customer insights based on various research activities that you will drive.

Key job responsibilities
In this role you will:

Define and execute research on user experience across Amazon and other websites via discovery, analysis, benchmarking, user task and goals identification, process flows, wire-frames, and mock-ups
Plan, conduct, and analyze quantitative studies, such as structuring and analyzing customer experience to evaluate the impact of product changes and capture insights at scale
Create opportunity frameworks that guide and influence business priorities and goals
Synthesize the data and conduct thorough analysis leading to focused, insightful, and actionable findings
Translate insights into measurable customer experience outcomes aligned to business goals
Advocate for our users throughout the development process and demonstrate how this leads to business value.
Articulate and communicate research insights and present your work to senior leadership
Create and maintain documentation for all the work you do
Work with product management, engineering, and program management teams to develop proposed solutions that address top gaps, and collaborate with teams to iteratively test these solutions until outcomes are achieved

Basic Qualifications

- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results, or experience delivering results for large, cross-functional initiatives/projects
- Experience in e-commerce product listing & catalog
- Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- 2+ years’ experience in catalog systems / eCommerce.

Preferred Qualifications

- Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc.
- Knowledge of SQL or Python
- Experience with A/B Testing or Multi-Variate Testing or both
- Experience guiding or managing user research and usability testing

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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