Sr. BIE, Pricing Data and Insights

Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon’s Pricing Data and Insights organization is for you.

Amazon’s Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.

This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.

Key job responsibilities

• Lead business intelligence for your business and its customers.
• Develop, build, and deliver analytical reporting, models and business strategy
• Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
• Leverage LLMs to generate Insights and drive growth discussions with Product teams.
• Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
• Continuously invent, simplify, and automate your products, tools, services, and methodologies.
• Improving back-end data sources for increased accuracy and simplicity.
• Recognizing and adopting best practices in reporting, analyses, data quality and modeling.

About the team The Pricing organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon’s prices are always competitive and error free.

10+ years of professional or military experience

• 5+ years of SQL experience
• Experience with AWS technologies
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of design of experiments and statistical analysis of results

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience in AWS services
• Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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 - 130,400.00 - 176,300.00 USD annually