Business Intelligence Engineer, AWS Global Sales Finance
2 weeks ago
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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