We are seeking a passionate Business Intelligence Engineer with an interest in e.commerce/aviation to join our Air Transportation team. In this role, you will be responsible for transforming large volumes of operational data into actionable insights that will optimize our air transport network, improve route efficiency, and enhance customer experience. This position is located in Vila Olímpia, São Paulo – SP and requires full-time in-office presence (no remote work option).
Key job responsibilities
• Analyze air cargo traffic patterns to optimize the network
• Collaborate with cross-functional teams to implement data-driven improvements
• Develop automated dashboards and reports for stakeholders
• Use mathematical models and heuristics to solve Air network planning problems
• Work on awareness and education to increase adoption of current internal GenAI tools (Amazon Q, Cedric, PartyRock, AgentZ)
• Develop personas/agents/apps/tools using Bedrock and other AI and automation tools (Amazon Q, Cedric, PartyRock, AgentZ) to develop AI-driven productivity increase initiatives
A day in the life
• Start the day by reviewing operational KPIs and analyzing anomalies
• Meet with operations teams to understand needs and challenges
• Develop and refine analytical models
• Run network optimization models and interpret its results
• Engage with and support the Air teams by identifying manual processes and automate them to streamline operations through AI
• Present insights and recommendations to leadership
- • Bachelor's degree in engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- • Experience in scripting automation (e.g. Python) and advanced SQL skills
- • Experience with building ETL pipelines and cleaning large (multi-TB) data sets
- • Experience with data visualization using Tableau, Quicksight, or similar tools
- • Knowledge of applied optimization methods, specially mixed-integer programming and network flows
- • Knowledge of GenAI integration into daily processes using personas/agents/apps/tools- • Prior experience in the logistics/aviation industry
- • Knowledge of operations optimization
- • Experience with AWS or similar solutions such as EC2, DynamoDB, S3, and Redshift
- • Experience with real-time data processing
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