MHLS Business Intelligence Engineer II, Human-AI Enablement and eXperiences
Core
Build and maintain data pipelines and integration layers that unify contact center, workforce management, and case management data into reliable datasets for analytics.
Role type
Senior Business Intelligence Engineer (Data Engineering)
Builds
Clean, well-modeled, reliable datasets for analytics teams
Domain
Contact center operations, workforce management, case management
Required skills
SQL, ETL pipeline development, data modeling, data warehousing, data quality validation, statistical analysis, automated reporting, data visualization (Tableau/Quicksight), NoSQL, Oracle, Redshift
Preferred skills
AWS (EC2, DynamoDB, S3, Redshift), Python scripting, data mining, large-scale complex dataset handling, data quality monitoring frameworks
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, AWS (EC2, DynamoDB, S3), Python
Responsibilities
Design and own data pipelines integrating disparate source systems, model data for analytics, build validation and monitoring frameworks for data quality, perform technical deep dives to trace data discrepancies to root causes, develop automated reporting solutions
Seniority
Mid-Senior, hands-on IC