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.
Company - Amazon Web Services Singapore Private Limited
Job ID: A3010128
