Are you looking for a role where you have the opportunity to shape Amazon’s
Pricing and Promotions using data, analytics, and insights? If so, our role in
Amazon's Pricing & Promotions Science, Data, and Insights organization is for
you.
Amazon's 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
Amazon’s 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 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 & 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 Amazon's prices are always competitive and error free. Basic
Qualifications: - 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 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.
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
[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 for this position ranges from $97,400/year up to $162,600/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.
