Business Intelligence Engineer

- Build and scale business intelligence as a service, delivering insights that create measurable value for clients - Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science - Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources - Lead client onboarding and act as a long-term analytics partner to participating organizations - Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis - Create data models and structures that power trusted, scalable analytics - Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions - Proactively propose new analyses and help shape how insights are shared across clients and internal teams

- 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations - Demonstrated experience in the ticketing/live events/sports space - Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar) - Experience building dashboards and reports using modern data visualization tools (Tableau preferred) - A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories - A passion for building analytics that are not only accurate, but genuinely useful and actionable - Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

- Experience with Python or R for predictive, statistical, or categorical modeling - Familiarity with live entertainment, college athletics, or fundraising data - End-to-end data engineering experience (source → warehouse → visualization/export) - Experience with ETL tools and modern data stack patterns - Deep familiarity with Snowflake or similar cloud data platforms - Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance.

Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.