LEARFIELD operates at the intersection of college sports, live events, media, and marketing. The company helps universities, venues, and brands connect with fans through sponsorship programs, multimedia rights, ticketing, licensing, digital marketing, publishing, merchandise, and exclusive content. Its work also includes developing Name, Image, and Likeness opportunities and using technology and data to support partner organizations and fan engagement. LEARFIELD’s team serves audiences across the United States and works with collegiate athletics and live-event stakeholders to build commercial and fan-focused experiences.
Business Intelligence Engineer — Remote, United States
Build cloud-based data products and dashboards for Paciolan’s live-event and sports clients. Turn ticketing, fundraising, and marketing data into actionable analytics.
Description
- Build and expand business intelligence as a service
- Deliver insights that generate measurable client value
- Design, own, and evolve end-to-end solutions spanning data engineering, analytics, and data science
- Create and maintain dynamic dashboards from fundraising, ticketing, marketing, and other complex data sources
- Lead client onboarding initiatives
- Serve as a long-term analytics partner for participating organizations
- Maintain data accuracy and reliability through validation, monitoring, and root-cause analysis
- Develop data models and structures that support trusted, scalable analytics
- Collaborate with Product, UI/UX, Customer Success, and data engineering teams on intuitive, high-impact solutions
- Recommend new analyses and help improve how insights are communicated to clients and internal teams
Requirements
- At least four years of experience delivering business intelligence or analytics to stakeholders across teams or organizations
- Proven experience in ticketing, live events, or sports
- Advanced SQL skills
- Practical experience with cloud data warehouses such as Snowflake, AWS, or comparable platforms
- Experience creating dashboards and reports with modern data visualization tools; Tableau is preferred
- A curious, pattern-oriented approach with the ability to turn data into clear, compelling narratives
- Strong commitment to producing accurate, useful, actionable analytics
- Comfort with giving and receiving feedback
- Willingness to work beyond familiar areas and expand your capabilities
- Python or R experience for predictive, statistical, or categorical modeling is preferred
- Familiarity with live entertainment, college athletics, or fundraising data is preferred
- End-to-end data engineering experience spanning source systems, warehouses, and visualization or export is preferred
- Experience with ETL tools and modern data-stack patterns is preferred
- Strong familiarity with Snowflake or a comparable cloud data platform is preferred
- Exposure to AI-driven analytics use cases and interest in building data foundations for future AI capabilities is preferred
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Health Savings Account
- Life insurance and other insurance plans
- Flexible paid time off, with a minimum of 10 days annually
- Parental leave
- 20 paid holidays
- 401(k) plan with company match
- Short- and long-term disability coverage
- Annual discretionary bonus and/or sales compensation based on individual and company performance, subject to eligibility