Job description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Multiple Sellers in various countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization. FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. Key job responsibilities - Develop business metrics and analysis to inform product strategy and influence key strategic initiatives. - Develop clear communications for recommended actions. - Establish self-service automated reporting processes for tracking and diving deep into the data. - Partner with data engineers to establish new data pipelines and document logic for business metrics. - Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes. About the team - Work on high-impact, high-visibility projects that drive the experience for millions of customers. - The opportunity to use and learn state-of-the-art data management solutions. - Excellent opportunities, and ample support, for career growth, development, and mentor-ship. - Competitive compensation, including relocation support. - Knowledge of SQL and data warehousing concepts - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Master's degree in sciences, engineering, finance or equivalent - 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. 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 amazon.jobs 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 amazon.jobs . USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Requirements

Must-haves

Key job responsibilities
Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
Develop clear communications for recommended actions.
Establish self-service automated reporting processes for tracking and diving deep into the data.
Partner with data engineers to establish new data pipelines and document logic for business metrics.
Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.
About the team
Work on high-impact, high-visibility projects that drive the experience for millions of customers.
The opportunity to use and learn state-of-the-art data management solutions.
Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
Competitive compensation, including relocation support.
Knowledge of SQL and data warehousing concepts
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with data modeling, warehousing and building ETL pipelines
Experience writing complex SQL queries
Master's degree in sciences, engineering, finance or equivalent
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

Nice-to-haves

Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsql

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave