Business Intelligence Engineer, AWS Global Sales Finance

Amazon; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading e-commerce firm in Singapore is seeking a Business Intelligence Engineer II to design and implement data solutions for complex business problems. The ideal candidate will have strong skills in SQL, Python, and AWS, as well as experience in data visualization and analysis. This role focuses on delivering actionable insights to drive business decisions and improve organizational efficiency. Join a team that fosters an inclusive culture and empowers you to deliver the best results.

Qualifications

• 3+ years of experience analyzing and interpreting data.
• Experience building ETL pipelines for data modeling and warehousing.
• Experience in Statistical Analysis packages such as R, SAS or Matlab.

Responsibilities

• Lead design and implementation of data-driven initiatives.
• Build and deploy automation solutions and self-service analytical tools.
• Conduct in-depth financial analysis of sales performance.

Skills

Data analysis

SQL

Python

AWS services

Data visualization

Education

Bachelor's degree in a highly quantitative field

Tools

AWS

Tableau

Quicksight

Job description

Description

Job summary

• Candidate must be authorized to work in Singapore without sponsorship.

• Bachelor's degree in a highly quantitative field, or equivalent professional experience

• Proficiency with AWS cloud services including Amazon S3, Redshift, Lambda, and SageMaker, or similar tools

• Advanced skills in SQL and Python

We're seeking a skilled Business Intelligence Engineer II to design and implement data solutions for complex business problems. This role requires independent execution with a focus on building efficient, maintainable, and scalable BI solutions. The ideal candidate will demonstrate ability to balance customer requirements with technical constraints while delivering high-quality, maintainable solutions that drive business decisions.

Key job responsibilities

• Lead design, development, and implementation of data-driven initiatives from conception through post-launch measurement

• Build and deploy advanced automation solutions and self-service analytical tools

• Uncover nuanced trends, identify strategic opportunities, and deliver actionable insights

• Drive new initiatives that improve organizational efficiency and effectiveness through cutting

edge technology adoption

• Fostering analytical capabilities across teams

Supporting Functions

• Partner with Finance and Operations teams to define strategic business problems and implement data-driven solutions

• Serve as trusted advisor for sales finance data and analytics, providing insights for strategic decision-making

• Collaborate with sales operations and other BI teams to ensure alignment on metrics, data definitions, and reporting standards

• Act as subject matter expert, promoting data-driven culture within sales finance organization

Urgency & Priority Areas

• Conduct in-depth financial analysis of sales performance across multiple dimensions (revenue, pipeline, productivity) to identify urgent trends and root causes

• Deploy scalable automation solutions using AWS or Python scripting to address immediate process inefficiencies

• Explore and prototype GenAI solutions to enhance sales finance capabilities and maintain competitive advantage

• Implement user-friendly analytical tools and dashboards to enable stakeholders to access critical insights independently

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

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.