Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and In[...]

Amazon; Vancouver; On-site; USD 97,000 - 163,000; Full time

Job summary

A leading e-commerce company based in Vancouver is seeking a Senior Business Intelligence Engineer. This role focuses on developing automated analytics and insights to enhance pricing and promotions strategies. Candidates should have over 10 years of experience, strong analytical skills with SQL and AWS technologies, and the ability to influence decision-making with data-driven insights. The position offers a competitive salary ranging from $97,400 to $162,600 annually.

Benefits

Comprehensive benefits

Equity and sign-on options

Qualifications

• 10+ years of professional or military experience.
• 5+ years of SQL experience.
• Experience with AWS technologies.
• Experience in data cleaning and transformation.
• Strong knowledge of machine learning and data mining.

Responsibilities

• Lead business intelligence for the organization.
• Develop analytical reports and models.
• Conduct deep dive analyses for senior leadership.
• Automate analytical products and methodologies.
• Improve data sourcing for accuracy.

Skills

Analytical skills

SQL

AWS technologies

Data extraction and transformation

Machine learning

Scripting for automation (Python)

Tools

AWS EC2

AWS S3

AWS Glue

AWS Redshift

Lookout

Job description

Description

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 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.