Business Intel Engineer II, IES CFX & Prime
Core
Driving analytics roadmap and providing descriptive/predictive solutions to marketing and product management via data mining, statistics, and machine learning.
Role type
Business Intelligence Engineer (Analytics & Data Science)
Builds
Operational efficiencies, scalable data systems, and automated dashboards for business decision-making.
Domain
E-commerce / Retail (Amazon) + Data Science & Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, statistical analysis, machine learning, data mining, ETL pipeline design, data warehousing, AWS technologies, large-scale data processing (multi-TB), information retrieval
Preferred skills
Data visualization, data modeling, translating business needs to data solutions, mentoring junior engineers
Technologies
AWS (EC2, DynamoDB, S3, Redshift), Tableau, Quicksight, R, SAS, Matlab, Oracle, NoSQL, Redshift
Responsibilities
Extract and clean large datasets from various sources; construct complex analyses and implement real-time data flow solutions; collaborate with stakeholders to define business questions and build answering datasets; mentor junior resources in building scalable systems; drive automation by converting resources into quick dashboards; monitor key metrics and escalate anomalies.
Seniority
Mid-Senior, hands-on IC
