Level

Amazon

Business Analyst, Listing Analytics

AI in this role

Business Analyst responsible for building metrics, reports, and analyzing large datasets to support global marketplace sellers.

excelsql
data-analysisbusiness-intelligencereportingmetrics

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up-like environment with the opportunity to have a significant impact from day one? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.
Over two million active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon's ecosystem to deliver on our vision of offering the earth's largest selection and lowest prices. We are looking for a Business Analyst with a passion for using data to discover and solve real-world problems. You will enjoy working with one of the richest datasets in the world and advanced technology. You will have the ability to see your insights drive the creation of real tools and features for our customers and the thousands of merchants participating in our Marketplace.
The ideal candidate will have passion and experience analyzing data and using that analysis to drive key insights and recommendations. As a Business Analyst, you will also build reports and metrics, drive ad hoc analysis, and communicate insights to key stakeholders. You will not only execute on the required skills but also be able to influence, educate, and drive results in a fast-paced, ambiguous environment.
You will also have the opportunity to contribute to the development of policies, processes, and tools to address seller-facing challenges in collaboration with teams across Amazon. This is an opportunity that requires a critical thinker with strong organizational, problem-solving, and communication skills. At the core of the position is a passion for protecting Amazon's reputation and the customer experience and trust. In this role you will:
- Build and maintain recurring metrics and reports.
- Complete ad hoc data retrieval and analysis using relational databases, Excel, and other data management systems.
- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
- Monitor existing metrics as well as develop and propose new metrics, working with a variety of business stakeholders.
- Communicate insights to key stakeholders.
- Dive deep to solve unstructured and ambiguous problems, including uncovering issues that can influence the product and policy roadmap.

Key job responsibilities


Basic qualifications

- 1+ years of tax, finance or a related analytical field experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- 2+ years of experience writing complex Excel VBA macros

Preferred qualifications

- Experience using very large datasets
- Currently has, or is in the process of obtaining, a Master's degree in Business, Computer Engineering, Computer Science, Data Engineering, Economics, Finance, Engineering, Mathematics, Machine Learning, Science, Statistics, or Symbolic Systems
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
- Experience identifying opportunities to integrate AI solutions into products and services to drive business value
- Experience with data visualization tools such as Tableau, QuickSight, Power BI, or similar tools

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 80,200.00 - 97,600.00 USD annually

How we score this

Business Analyst, Listing Analytics at Amazon scores 0 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.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. 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.

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Skills and AI tools this role asks for

Data AnalysisBusiness IntelligenceReportingMetricsExcelSql

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where business intelligence was part of your work. What did you do?
  3. Tell me about a project where reporting was part of your work. What did you do?
  4. Tell me about a project where metrics was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

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  • 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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