Business Intelligence Engineer, AWS Global Sales Finance

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

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