Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's, Master's
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Qualifications
Required
- Bachelor's degree
- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- 7+ years of business or financial analysis, product costing, procurement, or a quantitative role experience
- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience defining program requirements and using data and metrics to drive improvements
Preferred
- MBA
- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Interest in exploring how automation and AI can power workflows, dashboards, and campaigns
About the role
Original posting provided by amazon
We're looking for a Senior Business Analyst to turn ASCS's data into decisions – you don't just report what happened — you crisply explain why it happened, what it means for the business, and what we should do differently tomorrow. You'll dig into complex, messy datasets, build the dashboards and pipelines that make performance visible, and deliver the insight that changes what leadership prioritizes next. The role spans strategic and tactical work — from defining the analytical framework to writing the query yourself. It's highly visible, cross-functional, and not for someone who wants a narrow lane.
The ideal candidate will be a sharp SQL and BI practitioner who builds things that scale, translates ambiguity into structure, and transforms data into narratives that drive action. You are comfortable embracing ambiguity, translating multi-channel performance data into a clear narrative, and changing a stakeholder's mind with evidence rather than opinion. You work backward from the customer, you dive deep rather than accepting the first plausible explanation, and you'd rather build a scalable solution once than answer the same ad hoc question five times.
Key job responsibilities
• Turn operational and performance data into insights and narratives leadership can act on — not just charts, the "so what."
• Work with large, complex, sometimes-ugly datasets using the right tool for the job, whether that's SQL, Python, or a spreadsheet.
• Partner with Product, Program, Engineering, and Sales to define data requirements and build BI solutions that actually get used, not just launched.
• Build and own self-serve analytics — dashboards, drill-downs, alerts, and metric definitions — so performance is obvious at a glance across ASCS service lines.
• Define measurement frameworks that connect acquisition, engagement, and operational KPIs, and run retrospectives that end in specific optimization actions, not just observations.
• Identify what's actually driving key metrics, quantify the impact, and make the call on where the business should invest next.
• Build automated pipelines and reporting that cut manual effort and speed up decisions.
• Mentor junior analysts on technique, problem-solving, and how to land a recommendation with a room full of stakeholders.
Basic Qualifications
- Bachelor's degree- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- 7+ years of business or financial analysis, product costing, procurement, or a quantitative role experience
- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience defining program requirements and using data and metrics to drive improvements
Preferred Qualifications
- MBA- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Interest in exploring how automation and AI can power workflows, dashboards, and campaigns
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, NY, New York - 130,000.00 - 185,000.00 USD annually
USA, WA, Seattle - 118,200.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.