Director of Business Intelligence

Role Overview

The Director of Business Intelligence will report to the AVP of Business Intelligence & MarTech. The Director of Business Intelligence serves as a strategic leader responsible for transforming data into meaningful insights that drive decision making across all Pacers Sports & Entertainment (PS&E) brands.

What You Will Do

Apply advanced data modeling, predictive analytics, and statistical techniques to uncover trends, interpret key findings, and translate insights into initiatives that drive measurable business outcomes. Lead the development and deployment of data-driven solutions across the organization, ensuring insights are actionable and embedded into decision-making processes at all levels.

Why It Might Be a Fit

The ideal candidate is equally comfortable architecting data models as they are presenting concise, actionable insights to executives. They will oversee the acquisition, governance, and enrichment of data assets, ensuring the organization leverages high quality, connected data to inform marketing, ticketing, partnerships, operations, and overall business performance.

Requirements

• Bachelor’s degree required, with strong preference for analytics, statistics, computer science, economics, or a related technical discipline.
• 8+ years of experience in business intelligence, marketing analytics, sales analytics, or similar analytical role.
• 5+ years of supervisory or team-lead experience, including coaching and developing analysts.
• Exceptional communication skills, with the ability to translate complex analytical concepts for audiences of all technical levels.
• Advanced SQL proficiency, including multi-table joins, subqueries, and performance-optimized querying.
• Strong grounding in data mining and data engineering principles, including predictive analytics, data mapping, and integrating on-premises and cloud-based data sources.
• Hands-on experience with statistical modeling techniques, such as GLM, logistic regression, variable selection, and other predictive methods.
• Experience writing advanced SAS code, including complex models, macros, and automation workflows.
• Proficiency with Qualtrics and experience integrating survey data into CRM systems to enrich customer profiles.
• Technical competency with statistical tools (Excel, R, or similar) and data visualization platforms (Tableau, Power BI, or equivalent).