We are seeking a Business Intelligence Engineer to support large-scale analytics, data pipeline architecture, and insight generation for a recurring revenue enablement program. This role is ideal for someone who excels at building reporting systems from the ground up and thrives in highly collaborative, data-centric environments.
As a BIE, you’ll architect the end-to-end business intelligence landscape—including datasets, ETL processes, logic layers, dashboards, and stakeholder-facing insights. You’ll partner with engineering, product, operations, and analytics teams to transform raw data into actionable intelligence that drives strategic and operational decisions.
Key Responsibilities
Design and implement scalable pipelines to ingest, clean, and transform large, complex datasets for business analytics and reporting.
Build self-service dashboards and data tools using SQL, Python, Tableau, or QuickSight to support cross-functional stakeholders.
Lead initiatives to audit data quality, identify gaps, and guide enhancements across cloud infrastructure and metadata systems.
Partner with cross-functional teams to align BI solutions with evolving business goals, operational needs, and customer behavior trends.
Translate ambiguous business questions into concrete data strategies, delivering deep-dive insights and real-time analytics.
Drive innovation through experimentation with new data models, visualization techniques, and performance monitoring solutions.
Support data migrations, system integrations, and knowledge management as part of a broader business intelligence center of excellence.
Required Skills & Experience
4–6 years of hands-on experience in SQL, Python, and data visualization tools (e.g., Tableau, QuickSight).
2–5 years of experience working with large-scale, complex datasets and building analytics solutions from scratch.