Business Intel Engineer II, Pricing Insights

Description

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 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 hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad 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 intelligence experience and an entrepreneurial mindset.

Key job responsibilities

• Support business intelligence for your business and its customers.

• Develop, build, and deliver analytical reporting, models and business strategy

• Conduct 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.

• Produce 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.

• Recognize and adopt best practices in reporting, analyses, data quality and modeling.

About the team

The Pricing Data and Insights 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.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• 1+ years of SQL, ETL or Oracle experience

• 1+ years of processing large, multi-dimensional datasets from multiple sources experience

• 1+ years of performing statistical analysis experience

• 1+ years of developing automated reporting experience

• 3+ years of in the job offered or a related occupation experience

• 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with data modeling, warehousing and building ETL pipelines

• Experience in Statistical Analysis packages such as R, SAS and Matlab

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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 - 99,500.00 - 160,000.00 USD annually