Director, Advanced Analytics

Detroit Pistons•Detroit, MI

14h

About The Position

Are you looking to be part of a high-performing team of go-getters who make a difference both on and off the court? 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.

Requirements

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.

Responsibilities

Revenue Strategy & Pricing Optimization
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.
Advanced Analytics & Predictive Modeling
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.
Cross-Functional Partnership & Influence
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.
Team Leadership & Development
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.
Tools, Systems, & Data Infrastructure
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.