Business Intelligence Engineer, BR Trans Execution, Trans Execution, AMZL BRA

Are you excited about uncovering actionable insights to improve delivery experience Do you get excited about operating in an ambiguous and fast-moving environment Are you looking for an opportunity to define analytics roadmap work with cross-functional teams experiment with AWS tech solutions and build decision-driven analytics solutions for work that is critical to Amazons continued ability to deliver smiles in communities

We are looking for an innovative and highly-motivated Business Intelligence Engineer (BIE) who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams product managers program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall delivery operations and Trans Execution BR performance.

Key job responsibilities
You will have an opportunity to lead medium to large-scale projects along with owning multiple domains within the team and contributing to the analytics roadmap. You will be instrumental in transforming manual processes into automated scalable solutions that support scheduling capacity management and operational excellence across all delivery channels in Brazil.
- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs and helping them solve their problems by leveraging technology.
- Work closely with business stakeholders and leadership team to review roadmap and contributing to business strategy and how they can leverage - Manage and execute entire projects from start to finish including stakeholder management data gathering and manipulation modeling problem solving and communication of insights and recommendations.
- Extract transform and load data from many data sources using SQL Scripting and other ETL tools.
- Design build and maintain automated reporting dashboards and ongoing analysis to enable data driven decisions across our team and with partner teams.
- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
- Retrieve and analyze data using a broad set of Amazons data technologies (ex. Redshift AWS S3 Amazon Internal Platforms/Solutions) and resources knowing how when and which to use.

About the team
The Trans Execution BR team at AMZL Brazil is a newly established high-impact function responsible for the end-to-end management of Brazils delivery network. Our scope encompasses capacity planning demand forecasting scheduling and route optimization and risk management across all delivery channels. We are building this team from the ground up with a mission to transform a highly manual Excel-driven process into a scalable automated and data-driven operation that serves the full spectrum of Amazons delivery models in Brazil.
We operate in a fast-paced ambiguous environment where operational rigor and innovative thinking go hand in hand. We are part of a global community of Trans Execution teams with counterparts in Japan India and other geographies and we actively collaborate across borders to share best practices and co-develop technology solutions. Our team is growing rapidly and we are looking for people who are excited to build something new solve hard problems and make a measurable impact on Amazons delivery network in Brazil.

- 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)
- Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
- Speak write and read fluently in English

- 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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