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Description

Do you want to be an integral part of the world's transition to the cloud? The AWS Frontier team is seeking a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.

Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the Frontier org. You will be gathering customer needs and insights, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.

The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to be a sole owner of analytics in your team - this role is for you!

Key job responsibilities

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.

• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.

• Be hands-on with ETL to build data pipeline to support automated reporting.

• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.

• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.

• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

About the team

AWS Frontier Operations team works in non-traditional environments to deploy AWS hardware for new solutions at the edge of the cloud. We are global, mobile, operate at a high pace and take pride in challenging the status quo and innovating for our customers!

The Frontier Operations Process and Learning (OPAL) team is a small, geographically disperse, yet closely knit community. We communicate frequently and collaborate on multiple projects. We have built very close relationships with our customers to ensure our projects have a direct impact on their work.

We are open to hiring candidates to work out of one of the following locations:

Taipei, TPE, TWN

Basic Qualifications

• 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 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