LocationIrvine, CA; Dallas, TX; Remote Tennessee; Atlanta, GA
Typefull-time
SeniorityMid
Experience4+ yrs
DepartmentProduct Engineering
Company size1+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
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
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 have6
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
Eligibility2
Equal Opportunity Employer
Work authorization (implied by Equal Opportunity statement and lack of visa sponsorship mention)
Skills
SQL
Snowflake
AWS
Tableau
Python
R
ETL
Benefits
Health insurance
Dental insurance
Vision insurance
Health savings account
Life insurance
Flexible PTO
Parental leave
Paid holidays
401(k)
Short term disability
Long term disability
About the role
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.
Essential Duties & 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
Minimum Qualifications:
•
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
Preferred Qualifications:
•
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
Pay Transparency:
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.
Benefits
Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.
Legal
Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.