Business Intelligence Engineer, ISFX

We are looking for a customer obsessed Business Intelligence Engineer who is comfortable with ambiguity and excited to build intelligence systems that help Account Managers and leaders make better faster decisions at scale. You should be comfortable working across the full stack of BI and applied ML: writing production SQL building data pipelines developing and evaluating ML models (classification scoring ensemble methods) designing MCP tool definitions and knowledge schemas and delivering actionable insights through dashboards and AI powered interfaces. You will work closely with product science and engineering teams

Key job responsibilities
Design and build MCP server as a centralized knowledge repository exposing lead context seller signals program rules and historical outcomes to AI agents and tools across Amazon MCP compliant platforms
Develop and maintain ML driven scoring and prioritization models (intent scoring conversion prediction multi signal ensemble models) working alongside the shared Data Scientist with ownership of feature engineering model evaluation and production deployment
Create support and continuously improve reports and metrics that support the business operations
Design and implement data pipelines (SQL Python Airflow) that process seller signals engagement data and pipeline metrics into actionable intelligence
Drive automation of repetitive reporting and assignment tasks to scale intelligence delivery across regions
Convert data into digestible business intelligence and actionable information using tools like QuickSight/Tableau
Shape and deliver key metrics reports and indicators by which our business will assess its performance
Dive deep into large data sets to answer specific business questions using Excel SQL and other data manipulation languages
Work directly with business teams to utilize metrics and analysis to determine improvement opportunities
Identify process improvement opportunities and drive automation to scale reporting solutions
Mentor junior analysts and provide guidance on best practices for data analysis and reporting
Independently manage end-to-end project delivery with minimal supervision




- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 2 years of Tableau Desktop Quicksight or other relevant data visualization software experience
- Bachelors degree or above in business administration finance economics computer science data science engineering or other related field or 2 years of Amazon RME (BB/3P) Full Time Exempt 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
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling
- Proficiency in Python for data manipulation automation and ML model development

- Masters degree or above in BI finance engineering statistics computer science mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level including: pivot tables macros index/match vlookup VBA data links etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience building or integrating with MCP servers API gateways or similar knowledge serving architectures
- Experience with ML model deployment in production: scoring pipelines A/B testing frameworks model monitoring and retraining

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