Are you looking for a role where you have the opportunity to shape Amazons Pricing and Promotions using data analytics and insights If so our role in Amazons Pricing & Promotions Science Data and Insights organization is for you.
Amazons Pricing & Promotions Science 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 Amazons culture and your work will have a direct impact on decision making and strategy for the Pricing and Promotions 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 peers 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 & Promotions Science 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 Amazons 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
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2 S3 Glue Redshift QuickSight Lookout Bedrock Lambda Step functions and SageMaker.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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The base salary for this position ranges from $97400/year up to $162600/year. Salary is based on a number of factors and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. Applicants should apply via our internal or external career site.