Director, Advanced Analytics

Overview

Join the Detroit Pistons as we harness the power of basketball to unite our city, elevate our fans, and drive lasting community impact. The Director of Advanced Analytics will lead the development and deployment of advanced statistical models and data-driven strategies to optimize business performance across revenue, marketing, and fan engagement. This role is responsible for transforming complex data into actionable insights, guiding organizational decision-making, and fostering a culture of innovation and analytical excellence.

The Director will collaborate cross-functionally to integrate analytics into strategic planning and operational execution while managing a team of analysts and data scientists.

• Design and implement dynamic pricing strategies for ticketing and premium seating.
• Partner with sales leaders to develop pricing models that maximize revenue and enhance fan accessibility.
• Build predictive models to forecast sales, demand elasticity, and ROI for pricing and promotional initiatives.
• Develop and deploy predictive models for customer churn, demand forecasting, lifetime value, and segmentation.
• Analyze fan behavior and digital engagement to improve marketing effectiveness and campaign performance.
• Translate complex data into actionable insights that inform marketing, sales, and retention strategies.
• Collaborate with Ticketing, Marketing, Partnerships, and Finance teams to embed analytics into business planning.
• Serve as a trusted advisor, empowering departments to leverage data for strategic decisions.
• Align analytics initiatives with organizational objectives in partnership with senior leadership.
• Lead, mentor, and develop a team of analysts and data scientists, fostering innovation and continuous learning.
• Ensure timely delivery of high-quality analytical solutions.
• Promote collaboration and professional growth within the Business Strategy & Analytics function.
• Oversee the use of BI and analytics platforms (e.g., Tableau, Power BI, SQL, Python/R, Snowflake).
• Partner with IT and data engineering to maintain scalable, integrated, and secure data infrastructure.
• Evaluate and recommend new technologies and data sources to enhance analytical capabilities.

• Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or related field.
• 7+ years of experience in analytics, preferably in sports, entertainment, or consumer-facing industries.
• Expertise in statistical modeling, machine learning, and data visualization tools
• Proven experience in pricing strategy, forecasting, and predictive modeling
• Expertise in BI tools (e.g., Power BI, Tableau, Looker).
• Proficiency coding with SQL, Python, and/or R.
• Excellent communication, stakeholder management, and strategic thinking skills.
• Ability to translate business needs into data solutions.
• Understanding of how to deploy business intelligence platforms and data visualizations for data storytelling purposes.
• Experience working cross-functionally and influencing at all levels of a matrixed organization.

We are proud to be an Equal Opportunity Employer and are committed to fostering a diverse and inclusive workplace. Employment decisions are made without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law. We are dedicated to ensuring equal access throughout the employment process.

Reasonable accommodations will be provided to qualified individuals with disabilities to enable participation in the application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require an accommodation, please contact us to request assistance.