Predictive Insights Analyst

Status: Full-time

The Predictive Insights Analyst will support the growth of advanced analytics capabilities across the organization, with an emphasis on pricing strategy, customer insights, and revenue maximization. This highly technical role will apply a strong data science foundation to evolving business problems across the Miami Dolphins, Formula 1 Hard Rock Miami Grand Prix, Miami Open, and Hard Rock Stadium. The analyst will build upon an established analytics and modeling foundation by exploring new data, enhancing existing methodologies, and translating complex findings into actionable recommendations.

This role is well suited for an early‑career candidate with strong technical skills, intellectual curiosity, and an experimental mindset. The ideal candidate is a self‑starter who is eager to explore unfamiliar datasets, learn new areas of the business, and apply their technical skillset across an evolving range of problems and opportunities. Professional experience is not required for candidates who can demonstrate the appropriate technical foundation through academic work, internships, research, or independent projects.

• This is a full-time position based on site at Hard Rock Stadium in Miami Gardens, FL.

Advanced Analytics & Predictive Insights

• Apply advanced analytical techniques to support pricing, product tiering, demand forecasting, secondary-market evaluation, retention, and customer targeting.
• Enhance existing analytical models and identify new applications.
• Independently explore complex customer, transactional, and engagement data to identify meaningful relationships, emerging opportunities, and actionable recommendations.
• Develop analytical approaches that help determine which customers represent the best sales opportunities, which products may be most relevant, and which communication channels may be most effective.
• Support the analytical components of customer scoring and lead automation in partnership with Analytics, Revenue Operations, CRM, Sales, and Marketing.
• Identify opportunities to apply analytical approaches and learnings across business verticals while adapting to new datasets and business questions.

Experimentation & Measurement

• Support the design and evaluation of A/B tests, control groups, and other structured experiments.
• Partner with stakeholders to define hypotheses, success metrics, and pre-launch measurement plans.
• Analyze experiments and communicate findings, limitations, and recommendations.
• Document experimental results and apply learnings to future strategies and tests.

• Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, or a closely related technical or quantitative field. Advanced degree is a plus but not required.
• Strong technical foundation in data science, predictive modeling, machine learning concepts, and quantitative problem‑solving.
• Strong expertise in SQL & proficiency in Python (A technical assessment Will be part of the interview process)
• Familiarity with Databricks, Power BI, or Hub Spot is a plus.
• Demonstrated curiosity, initiative, and willingness to ask questions, test ideas, challenge assumptions, and learn new business concepts.
• Ability to clearly communicate technical concepts, findings, and recommendations to non‑technical stakeholders.

• Medical, dental, and vision insurance
• Life insurance (including voluntary coverage for spouses and children)
• Long term disability insurance
• Ticket benefits for events including Miami Dolphins games, the Formula 1 Hard Rock Grand Prix, and the Miami Open
• Employee gym, subsidized lunch program, and discounts on a variety of products and services
• 401k, paid time off (PTO), and company holidays

The Miami Dolphins, Hard Rock Stadium and South Florida Motorsports are proud to be Drug-Free Workplaces. Offers of employment is contingent on successful completion of drug and background screening.

It is the policy of the Company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, military status, genetic information, sexual orientation, gender identity or expression, or other status protected by applicable federal, state, or local law.