Business Intelligence Analyst
Summary
Build and maintain Power BI dashboards and data models to support revenue forecasting, capacity planning, and performance management for a product-focused company.
- Develop, enhance, and maintain network analytics dashboards and reports supporting revenue forecasting, capacity planning, Win Room insights, and performance management
- Maintain and improve Power BI reports, data models, and reports; including performance optimization and user-friendly design
- Enable proofs of concept and new analytics use cases, supporting rapid iteration and continuous improvement of data products
- Ensure data accuracy, completeness, and consistency across analytics outputs, underlying tables, and reporting logic
- Leverage dashboards and tools to support business process improvement projects and enable data-driven decision making
- Act as a liaison between analytics teams and IT/Digital, supporting data warehouse integration, data refresh reliability, and technical troubleshooting
- Support Sales Analytics and Operational Analytics leads by translating analytical requirements into scalable solutions
- Deliverables : Power BI dashboards and standardized reports (e.g., Win Room, KPIs, TR/TD, Open Seat, Capacity, etc.)
- Reliable and documented data models supporting forecasting and performance analytics
- Data quality checks and remediation inputs
- Technical enablement for new analytics concepts and enhancements
- Presentation slide decks and written reports
Requirements
- 3-5 years of experience data analysis, business intelligence, statistics or analytics enablement roles
- Experience in roles with exposure to FP&A, Demand/Supply Planning, or Supply Chain Management
- Strong skills in Excel, Data Visualization tools (Power BI/Tableau/Looker) data modeling, SQL
- Exposure to AI models
- Understanding of data quality, data governance, and reporting standards
Core Competencies
Demonstrates expertise in developing and maintaining Power BI dashboards and reports, ensuring data accuracy and consistency while supporting business process improvements. Proficient in data modeling, analytics enablement, and translating analytical requirements into scalable solutions.