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 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 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 & 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: - 3+ years of analyzing and interpreting data with Redshift,
Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing
better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and
scripting experience (Python) to process data for modeling
- Bachelors Degree 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
[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 $76,400/year up to $127,600/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.
