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 2–4 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.
• 2–4 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.

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.
• Experience building automated data quality checks and validation layers within an ETL/ELT lifecycle
• A passion for sports analytics or previous experience within 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 structured environment, but our tasks are often open-ended and require someone who learns quickly and is creative with technical solutions. We are looking for a self-starter who thrives in an agile setting and is eager to contribute to the continued success of the Florida Panthers.

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.