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Business Intel Engineer, WW Promotions and Events Data and Insights

ID: 7386

Type: Full-time

Category: Others

Company Name: Amazon Development Centre Canada ULC

Location: CAN, BC, Vancouver - Vancouver - Canada

Salary: 76,400.00 - 127,600.00 CAD annually

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Job Description

Are you looking for a role where you have the opportunity to shape Amazon’s Promotions using data, analytics, and insights? If so, this role is for you.

Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide.

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
1. Support business intelligence for your business and its customers.
2. Develop, build, and deliver analytical reporting, models and business strategy
3. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
4. Leverage LLMs to generate Insights and drive growth discussions with Product teams.
5. Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
6. Continuously invent, simplify, and automate your products, tools, services, and methodologies.
7. Improving back-end data sources for increased accuracy and simplicity.
8. Recognize and adopt best practices in reporting, analyses, data quality and modeling.


About the team
Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling

Preferred Qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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 range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, BC, Vancouver - 76,400.00 - 127,600.00 CAD annually

Company Information

Company Name: Amazon Development Centre Canada ULC

Company Website: https://www.amazon.jobs/en/locations/canada

Company Address: CAN, BC, Vancouver

Amazon Development Centre Canada ULC is a Canadian legal entity and part of the global Amazon organization that houses software development, product engineering, research and related technical operations supporting Amazon’s consumer retail, cloud, devices, media and advertising businesses. As a development centre entity within Amazon’s corporate structure, it functions as an engineering and product delivery organization that employs software engineers, data scientists, machine learning specialists, product managers, designers, quality engineers and operations staff to design, build, test and operate software systems and services used by Amazon customers and internal business teams. The company’s core activities are centered on software and systems development across multiple technology domains. These activities typically include back-end and front-end application development, distributed systems engineering, cloud services work (including integration with Amazon Web Services), data engineering, analytics and machine learning model development, natural language processing work for voice services, computer vision R&D, infrastructure automation, security engineering and developer tooling. Teams operating under the development centre model commonly focus on delivering scalable services for retail commerce (catalog, search, recommendations, pricing, inventory and checkout), digital media (streaming and content delivery), consumer devices (software for Alexa-enabled products and IoT integrations), advertising technology (targeting, measurement and auction systems), and enterprise offerings (AWS features and management tools). The organisation also supports lifecycle activities for Amazon products and services, including product management, technical program management, continuous integration and continuous delivery (CI/CD) pipelines, site reliability engineering (SRE), monitoring and incident response, performance engineering, and operational support. Development centres play a role in prototyping new features, running experiments and A/B tests, and collaborating with global product teams to localize and adapt features for Canadian markets when appropriate. The teams frequently interface with cross-functional stakeholders—user experience researchers, UX designers, business analysts, legal and policy teams, and operations—to deliver end-to-end solutions aligning with Amazon’s product and customer experience goals. In terms of products and services, Amazon Development Centre Canada ULC does not sell consumer-facing products under its own brand; rather, it contributes engineering and product work to Amazon’s broad portfolio. Outputs from its teams feed into Amazon’s retail platforms (amazon.ca and global retail storefronts), AWS services, Alexa and Echo device software, Prime Video and digital content systems, Amazon Logistics and fulfillment technology, Amazon Advertising products, and other Amazon-owned services. These contributions include new features, performance and scale improvements, security and compliance implementations, localization for Canadian customers, and enhancements to data and machine-learning systems used for personalization, fraud detection, supply chain optimization and advertising. As a legal entity in Canada, Amazon Development Centre Canada ULC typically supports hiring and employment, payroll administration, workplace facilities and compliance with Canadian regulatory and labour requirements for Amazon’s engineering workforce in the country. The development centre model enables Amazon to maintain distributed engineering capacity outside its U.S. headquarters, providing both local product focus and integration into Amazon’s global engineering processes and technology stacks. Teams in such centres often collaborate closely with other Amazon engineering groups across North America, Europe and Asia, participating in shared codebases, microservice architectures, global release processes and Amazon-wide technical standards. Amazon’s publicly stated corporate mission—to be Earth’s most customer-centric company—is reflected in the development centre’s emphasis on customer-focused product delivery, data-driven decision-making and rapid iteration. The centre’s efforts are typically aligned to measurable customer outcomes such as lower latency, more relevant search results and recommendations, improved reliability and availability of services, faster feature delivery, and localized enhancements that improve the experience for Canadian customers. The operation also invests in workforce development, supporting internships, university hiring pipelines, co-op programs and community engagement in the technology ecosystem, as part of Amazon’s broader commitments to hiring and local economic participation. Security, privacy and regulatory compliance are also core considerations for engineering work done by Amazon Development Centre Canada ULC. Teams are expected to follow Amazon-wide security practices, data protection standards and compliance programs to meet applicable Canadian and international legal requirements, particularly for customer data, payment processing and cloud services. Research and engineering efforts may include building privacy-preserving machine learning, secure authentication systems, and compliance tooling to support regulated industries and jurisdictional requirements. Overall, Amazon Development Centre Canada ULC operates as a technology-focused subsidiary entity within the Amazon corporate family, delivering software engineering, data science and product development work that underpins many of Amazon’s consumer and enterprise offerings. Its contributions enable Amazon to scale technology development globally while retaining localized capabilities for the Canadian market.
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