Business Intelligence Engineer

LEARFIELD; United States; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account

Life Insurance

Other Insurance Plans

Flexible PTO

Parental Leave

Paid Holidays

401(k) + Match

Short/Long Term Disability

Job summary

Learfield is seeking a Business Intelligence Engineer to join our Product Engineering team in the United States. You will own data products end-to-end, enabling clients to make timely, high-impact business decisions and help shape our analytics capabilities.

You will build BI services, design scalable data solutions, and partner with cross-functional teams to deliver insightful dashboards across fundraising, ticketing, marketing, and other data sources.

Qualifications

• 4+ years delivering BI/analytics to stakeholders
• Experience in ticketing/live events/sports space
• Strong SQL and cloud data warehousing experience
• Experience building dashboards/reports with modern visualization tools
• Curiosity-driven mindset turning data into actionable insights
• Passion for accurate, useful analytics
• Comfort with feedback and stretching beyond comfort zone

Responsibilities

• Build and scale BI as a service delivering insights with measurable client value
• Design 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 data sources
• Lead client onboarding and act as analytics partner to participating organizations
• Ensure data accuracy through validation, monitoring, and root-cause analysis
• Create data models powering trusted, scalable analytics
• Collaborate with Product, UI/UX, Customer Success, and data engineers to deliver high-impact solutions
• Propose new analyses and help share insights across clients and internal teams

Skills

SQL proficiency

Tableau

Snowflake

AWS

Python

R

Data storytelling

Live events domain

Tools

Tableau

Snowflake

AWS

Job description

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.

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.

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.