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Business Intelligence Engineer I, FinOps FP&A

US-based multinational electronic commerce company that started as an online bookstore and evolved into a diverse retail platform.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
E-Commerce · Finance
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Description For Business Intelligence Engineer I, FinOps FP&A

Amazon's Global Financial Services (GFS) Production Planning Team is seeking a Business Intelligence Engineer to join their dynamic team. This role offers an exciting opportunity to work with one of the world's largest data environments, focusing on big data and analytics. The position combines technical expertise with business acumen, requiring someone who can handle both data engineering and business analysis.

The role involves working in a fast-paced environment where you'll be responsible for creating data pipelines, generating KPIs, and building user-friendly reporting solutions. You'll split your time between long-term project work and daily operational activities (KTLO), focusing on continuous improvement and automation.

As a BI Engineer, you'll work with tools like SQL, Python, and QuickSight for visualization, while managing ETL processes and data warehousing tasks. The position offers the chance to influence decision-makers through data-driven insights and recommendations.

This is an ideal opportunity for someone who wants to be at the forefront of financial data analytics at one of the world's largest e-commerce companies. You'll be part of a team that's fundamentally changing how Amazon approaches financial services through data-driven decision making.

The role requires strong technical skills combined with excellent business judgment and attention to detail. You'll have the opportunity to learn new systems and tools while helping design studies and build automation tools that accelerate analytics processes.

Last updated 7 months ago

Responsibilities For Business Intelligence Engineer I, FinOps FP&A

  • Simplify and automate reporting and data-driven activities
  • Improve back-end data sources for increased accuracy and simplicity
  • Conduct deep dive analyses of business problems
  • Support business with time-critical tactical data analyses
  • Create data pipelines for business analyst team access
  • Generate new KPIs to help solve business problems
  • Build user friendly reporting solutions
  • Analyze and clean data
  • Support analyst community with efficient queries for data retrieval

Requirements For Business Intelligence Engineer I, FinOps FP&A

Python
  • Degree in Computer Science, Engineering, Mathematics, Business Informatics, Statistics or equivalent quantitative field
  • 2+ years of experience as an analyst or engineer in the data/BI space
  • Advanced SQL, extensive experience with databases, data management, data warehousing
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience in data visualization platforms (Excel, Power BI, QuickSight, Tableau, etc.)
  • Solid business acumen, ability to bridge business and tech sides

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