Business Intelligence Engineer

LEARFIELD•Atlanta, GA

1d•$100,000 - $120,000

About The Position

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Requirements

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

Nice To Haves

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

Responsibilities

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