Business Intelligence Engineer, P2 Science, Data, and Insights

Amazon Development Centre Canada ULC - K03; Vancouver; On-site; CAD 80,000 - 110,000; Full time

Job summary

Amazon recrute un Business Intelligence Engineer à Vancouver pour rejoindre leur équipe de Pricing & Promotions. Le candidat idéal aura une solide expérience en analyse de données et sera capable de développer des outils analytiques et des reporting pour optimiser la stratégie de tarification. En tant que membre clé de l'équipe, le candidat influencera les décisions grâce à des recommandations basées sur les données, contribuant ainsi à l'expérience client d'Amazon.

Qualifications

• 3+ ans d'expérience dans l'analyse de données.
• Expérience en visualisation de données avec Tableau ou outils similaires.
• Compétences en modélisation de données et en développement de pipelines ETL.

Responsibilities

• Développer et livrer des rapports analytiques et des modèles.
• Effectuer des analyses approfondies des problèmes commerciaux.
• Automatiser les outils et méthodologies pour améliorer l'efficacité.

Skills

Data Analysis

Business Intelligence

Statistical Analysis

Data Visualization

ETL

Machine Learning

Tools

Tableau

Python

SQL

Redshift

Oracle

Job 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 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

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.

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