Business Intel Engineer I, Transportation Finance System, Transportation Finance Systems

Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management expense auditing accounting payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world.

We are looking for an innovative hands-on and customer-obsessed candidate for this role. Candidate must be detail oriented have superior verbal and written communication skills and should be able to juggle multiple tasks at once. The candidate must be able to make sound judgments and get the right things done. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes.

This role requires an individual with excellent statistical and analytical abilities deep knowledge of business intelligence solutions and have the ability to strongly utilize the GenAI technologies to analyse and solving problem able to collaborate with product business & tech teams.

The successful candidate will demonstrate the ability to work independently and learn quickly quick comprehension of Transportation Finance system functions and have passion for data and analytics be a self-starter comfortable with ambiguity an ability to work in a fast-paced and entrepreneurial environment and driven by a desire to innovate Amazons approach to this space.

Key job responsibilities
1) Translate business problems into analytical requirements and define expected output
2) Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Responsible for deep-dive analysis on key metrics.
3) Create & execute analytical approach to solve the problem inline with stakeholder expectation
4) Strongly leveraging GenAI technologies to solve problems and building solutions
5) Be the domain expert and have knowledge of data availability from various sources.
6) Execute solution with scalable development practices in scripting write & optimize SQL queries reporting data extraction and data visualization.
7) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs for your work
8) Actively manage the timeline and deliverables of projects focusing on interactions in the team

About the team
Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management expense auditing accounting payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world.

- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)

- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis

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