Data Analytics Lead

1 month ago


Vancouver, British Columbia, Canada Amazon Full time

As a Business Intelligence Engineer at Amazon, you will be working in a large, complex and dynamic, data-driven environment. You will be responsible for developing automated metrics that provide relevant insight to organizational leaders, building and maintaining dashboards, and performing complex data analytics.

About the Role

This position requires the candidate to develop a deep understanding of the organization and key goals, earn trust with senior leadership, influence without authority, and provide relevant data insights. To succeed, you must have the ability to engage deeply with diverse and talented business partners, earn trust using facts and data, and advise and influence decisions of senior business leaders through effective verbal and written communication.

Key Responsibilities:
  • Perform complex business analysis to help drive organizational decision-making
  • Complete root cause analysis and provide recommendations to senior leadership to address opportunities
  • Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole
  • Develop and maintain Tableau dashboards
  • Develop key metrics and shared goals that determine success for a particular area
  • Take on shared ownership of the weekly organizational metrics scorecard
A Day in the Life

A day in the life of a BI engineer at Amazon involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities, followed by deep work on developing and refining data transformation, building reports and automating processes. Collaboration with data scientists, analysts, and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring, code reviews, and documenting progress, all while keeping scalability, efficiency, and high standards for data quality in mind.

The ideal candidate should have:

  • 3+ years of analyzing and interpreting data with experience in Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience writing complex SQL queries
  • 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 in the data/BI space
Benefits and Compensation

Amazon offers a competitive salary range of $76,400 to $127,600 per year, depending on job-related knowledge, skills, and experience. In addition to a full range of medical, financial, and/or other benefits, applicants may also be eligible for equity, sign-on payments, and other forms of compensation as part of a total compensation package.



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