Analytics Engineer at Florida Panthers

Organization Overview: The Florida Panthers enter their 33rd season in 2026-27 as one of the National Hockey League’s premier franchises. As back-to-back Stanley Cup champions in 2024 and 2025, the Cats have emerged victorious in 11 of their past 12 postseason series and have captured four Eastern Conference championships. The Panthers are led by President of Hockey Operations & General Manager Bill Zito entering his seventh season, and President of Business Operations Michael White who begins his first full season. As the NHL’s southernmost team, the Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise; the Panthers IceDen in Coral Springs; the state-of-the-art Baptist Health IcePlex in Fort Lauderdale; and the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful year-round. 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. The Florida Panthers Foundation focuses on four core pillars: veterans’ affairs; children’s health and education; raising awareness for the endangered Florida Panther; and growing youth hockey throughout the region. The Panthers remain committed to empowering our fans to live sustainably and to strengthen the resiliency of our diverse communities throughout Florida and the tri-county area. Job Title: Analytics Engineer Department: Panther Insights Reports To:  Director, Business Intelligence FLSA: Exempt Employment Type: Full-Time Location: Florida Panthers Hockey Club Position Overview We are seeking an Analytics Engineer with 1–3 years of experience to join our Business Intelligence team. This role is designed for a technical problem-solver who enjoys architecting the data logic that powers a championship-winning commercial strategy. Operating 100% on-site at our Sunrise offices, you will collaborate directly with our team in a fast-paced environment to serve as the critical bridge between our technical data architecture and the mathematical frameworks that dictate our business operations. This position is perfect for someone with a strong foundation in SQL and Python, a passion for working with data at scale, and a desire to be at the heart of the action in the sports and entertainment industry. Key Responsibilities • Architect and define the core data models and semantic layers within Amazon Redshift to serve as the primary foundation for all organizational reporting and Tableau visualizations. • Write and maintain high-performance Python and SQL to automate complex data streams, utilizing AWS services to ensure our infrastructure is efficient and scalable. • Act as a technical consultant to our data analysts, translating business requirements into precise data structures that allow the team to influence departmental strategy. • Build and implement automated testing and monitoring frameworks to guarantee 100% data integrity before insights reach the executive decision-making table. • Assist in the containerization and deployment of data workflows using Docker and Prefect, transforming manual or legacy processes into scalable, production-grade solutions. • Continuously optimize query performance and data warehouse logic to ensure that diverse commercial data streams are unified into fast, revenue-driving insights, while minimizing cost. • Build and maintain automated deployment pipelines (CI/CD). Qualifications Required: • Bachelor’s degree in Computer Science, Statistics, Data Engineering, Information Systems, or a related technical field. • 1-3 years of experience in analytics engineering, data engineering, database management, or a similar data-intensive role. • Advanced proficiency in SQL, with a focus on writing optimized, cost-efficient queries and managing complex logic within Redshift. • Solid experience using Python for data processing, automation, and interacting with APIs. • Hands-on experience designing and maintaining production-level ETL/ELT pipelines and data models. • Familiarity with Tableau, specifically in managing data sources and ensuring a clean, performant semantic layer for end-users. • Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders. Preferred: • Experience with workflow orchestration using Prefect and containerization with Docker. • Knowledge of cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.). • Experience working with large-scale datasets for analytics or machine learning initiatives. ...