Business Intelligence Engineer, Global Delivery Customer Experience Business Intelligence (GDCX-BI)

Amazon

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profile Job Location:

Vancouver - Canada

profile Monthly Salary: Not Disclosed
Posted on: 25 days ago
Vacancies: 1 Vacancy

Job Summary

Do you have a passion for setting the strategic vision and building new customer-facing experiences that are used by millions The Global Delivery Customer Experience (GDCX) team is hiring!

The Delivery CX teams mission is to provide a best-in-class shopping and delivery experience for Amazon customers. We builds customer-facing experiences which provide customers with delivery visibility and self-service controls to ensure they never miss a delivery. We are seeking a seasoned Business Intelligence Engineer to help us raise the bar on shopping and delivery convenience through technical innovation in GenAI for BI space.

As a Business Intelligence Engineer you will generate insights that will guide product and program development for our customers. Data analysis is at the core Amazons culture and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights mining data making recommendations and helping senior leaders make key business decisions. You will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon.



Key job responsibilities

- Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound cases where questions cannot be answered with available data work with engineers to produce the required data
- Apply data mining quantitative analysis and statistical models to understand how our customers interact with us and identify the best opportunities to improve the customer experience and meet our goals
- Own the design development and maintenance of ongoing performance metrics reports analyses dashboards etc. to drive key business decisions
- Build various data visualizations to tell the story and let the data speak for itself
- Retrieve synthesize and present critical data in a format that is immediately useful to answering specific questions or improving system performance
- Build decision-making models and propose solutions for the business problem you defined
- Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication
- Recognize and adopt best practices in reporting analysis and experiment design: data integrity analysis validation and documentation



A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. RRSP

About the team
The GDCX BI team supports Amazons Global Delivery Customer Experience organization by providing fast accurate and scalable business intelligence solutions. It partners with product UX and tech teams to deliver impactful analytics for strategy planning and performance evaluation. Key responsibilities include data pipelining experimentation design and analysis dashboarding customer insights and operational planning. The team emphasizes strong code quality scalable architecture and frugal resource use while ensuring data accuracy privacy and compliance. By empowering end users with AI enabled self-service BI tools GDCX BI drives data-informed decisions that enhance customer experience and business efficiency across Amazons delivery ecosystem.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. 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 writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary for this position ranges from $76400/year up to $127600/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.


Required Experience:

Exec

Do you have a passion for setting the strategic vision and building new customer-facing experiences that are used by millions The Global Delivery Customer Experience (GDCX) team is hiring! The Delivery CX teams mission is to provide a best-in-class shopping and delivery experience for Amazon custo...
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Key Skills

  • Business Intelligence
  • Cognos
  • SQL
  • Power BI
  • QlikView
  • Data Visualization
  • ssrs
  • Tableau
  • SSIS
  • Data Modeling
  • Data Warehouse
  • Data Analysis Skills

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