Quantitative Data Analyst

The Florida Panthers enter the 2025-26 season as the two-time defending Stanley Cup Champions, having gone to the Stanley Cup Final in each of the past three seasons. The National Hockey League’s southernmost team, the Panthers have reached the postseason in a club-record six consecutive campaigns. The Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise, the Panthers IceDen in Coral Springs, the new state-of-the-art practice facility Baptist Health IcePlex in Fort Lauderdale, as well as the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful.

 An organization with deep roots in the community, the Panthers are owned by Vincent J. Viola, a graduate of the United States Military Academy at West Point and a veteran of the U.S. Army. Emphasizing a culture of selfless service both on and off the ice, the Panthers pillar program ‘Heroes Among Us’ honors a United States military veteran at every game and the Florida Panthers Foundation has four main focuses including veterans affairs, children's health and education, raising awareness for the endangered Florida panther and growing youth hockey.

Job Title: Quantitative Data Analyst
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking a Quantitative Data Analyst with 1–3 years of experience to transform complex commercial variables into high-fidelity predictive models, replacing anecdotal evidence with mathematically rigorous forecasts. This is a 100% on-site role based at our Sunrise offices, where you will work in the heart of our operations to identify hidden yield opportunities across all revenue streams. We aim to ensure every strategic move is backed by an unbiased, forward-looking probability of success. While we value sports or yield management experience, we prioritize a brilliant mathematical mind with elite Python skills; if you bring the technical horsepower, we will provide the industry context and the platform to see your work directly influence a championship organization.

Key Responsibilities

• Build revenue forecasting models and probabilistic simulations using Python to predict performance across all business units.
• Design, train, and validate supervised and unsupervised machine learning models to solve high-impact business problems like Lead Scoring, Customer Lifetime Value (CLV), and Churn Prediction.
• Translate complex statistical outputs into clear, narrative-driven recommendations for executive leadership.
• Write production-grade, modular Python code designed for ML Ops to ensure models are scalable and deployable.
• Analyze price elasticity for tickets and ancillary business lines to drive yield and pricing optimization.
• Monitor and implement emerging machine learning trends to continuously improve predictive accuracy.
• Collaborate with the broader BI team to integrate model outputs into our data environment.

Qualifications

Required:

• Bachelor’s degree in Mathematics, Statistics, Data Science, or a related quantitative field.
• 1–3 years of experience building and validating predictive and machine learning models.
• Deep understanding of probability, time-series analysis, and statistical significance.
• Proficiency in Python for data analysis and modeling with a focus on writing maintainable, production-ready code
• Proficiency in the full ML lifecycle, including feature engineering, hyperparameter tuning, and cross-validation
• Proven ability to distill complex statistical findings into actionable insights for non-technical stakeholders.

Preferred:

• Proficiency in SQL and experience extracting data from cloud warehouses like Amazon Redshift.
• Familiarity with ML Ops concepts, including containerization (Docker) or orchestration (Prefect).
• Experience deploying machine learning models in a real-world, fast-paced commercial environment.
• Experience with price elasticity, dynamic pricing models, or inventory management.
• A passion for sports analytics or experience in the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Business Intelligence team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require critical thinking as well you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply rigorous mathematics to the exciting world of professional sports

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

At the Florida Panthers Hockey Club, Arena Operating Company, Panthers IceDen, Sanza Food Service, War Memorial Benefit Corporation, and FLA Team Shop, we strive to make every employee feel valued and respected for who they are and the unique contributions they make. We believe that a diverse and inclusive company is a more innovative and successful company, which is why we aim to infuse diversity, equity, and inclusion (DE&I) into all aspects of our culture and our business.

We welcome all to apply and join our team.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.