Business Intelligence Engineer, ADSP Product Operations & Analytics
Core
Build analytics frameworks, KPIs, and dashboards to turn data into actionable insights for strategic business decisions.
Role type
Business Intelligence Engineer
Builds
Centralized data tools, dashboards, and AI-powered workflows
Domain
Business Operations & Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python, data modeling, ETL pipelines, statistical analysis, data visualization (Tableau/Quicksight), Redshift, Oracle, NoSQL
Preferred skills
AWS solutions (EC2, DynamoDB, S3), data mining, large-scale complex dataset management
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, Python, R, SAS, Matlab, AWS (EC2, DynamoDB, S3)
Responsibilities
Investigate complex business challenges to identify root causes of delivery gaps and operational inefficiencies; Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases; Develop sophisticated data models and ETL pipelines that process large-scale datasets; Create optimized SQL queries and data transformation workflows to convert raw data into actionable dashboards; Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights; Innovate new metrics and measurement frameworks to capture effectiveness of emerging initiatives; Collaborate across engineering, data science, and business teams to build centralized data tools
Seniority
Mid-level, hands-on IC