Business Intel Engineer II, IES CFX & Prime
Core
Drive analytics roadmap and provide descriptive/predictive solutions to marketing and product management via data mining, statistics, and machine learning.
Role type
Senior Business Intelligence Engineer (Analytics & Data Science)
Builds
Operational efficiencies, scalable data systems, and automated dashboards for business decision-making
Domain
E-commerce / Retail Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, AWS, statistical analysis, data mining, machine learning, ETL, data modeling, data warehousing, information retrieval
Preferred skills
Stakeholder translation, senior leadership communication, large-scale dataset management
Technologies
AWS (EC2, DynamoDB, S3, Redshift), Tableau, Quicksight, R, SAS, Matlab, Oracle, NoSQL, Redshift
Responsibilities
Extract and process huge volumes of data from various sources and message streams; construct complex analyses and implement real-time data flow solutions; collaborate with business and engineering teams to define key business questions; mentor junior resources in building scalable systems; drive automation by converting resources into quick dashboards; monitor key metrics and escalate anomalies.
Seniority
Senior, hands-on IC
