Analyst

Toyota Center • Houston, TX

17h • Onsite

About The Position

The Analyst uses advanced quantitative and qualitative analytical methods to provide actionable insights and solutions to complex business challenges through data visualization, modeling, and structured reporting. The department supports growth and success across business units and enables data-driven decisions throughout the company, including the Houston Rockets, Houston Comets, and Toyota Center.

This is an in-house/in-office position at Toyota Center in Houston, Texas. The role involves collaborating across the organization and adjusting to changing work hours and locations as needed to support external communications and relationships.

Requirements

• Bachelor’s degree in data science, business analytics, computer science, engineering, information systems, statistics, economics, or a related field.
• 1–3 years of experience in analytics, business intelligence, or strategy.
• Strong written and verbal communication skills, including the ability to convey complex results clearly, concisely, and credibly.
• Team-oriented, with time-management skills and the ability to multitask in a fast-paced environment.
• Curious self-starter who learns new concepts quickly.
• Strong analytical and problem-solving skills and attention to detail.
• Advanced critical-thinking and project-management skills.
• Deep understanding of statistical and forecasting principles.
• Foundational computer skills, including Microsoft Word, Excel, PowerPoint, Outlook, and Teams.
• Proficiency in data visualization tools; Tableau is required.
• Fluency in SQL programming for database management.
• Experience with a general-purpose or statistical programming language such as R or Python.
• Fundamental understanding of predictive modeling, structured analytic methodologies, and AI/automation.

Nice To Haves

• Previous experience in sports and/or live entertainment is preferred.
• Recent graduates with a relevant degree or academic experience are encouraged to apply.

Responsibilities

• Design, implement, and maintain data visualizations, structured reports, and ad hoc audits covering operational and performance metrics across all lines of business.
• Conduct comprehensive data analysis to inform strategic business decisions, using methods such as descriptive, regression, dispersion, factor, and time series analysis.
• Develop and train internal predictive statistical models to identify opportunities, mitigate risks, and inform business strategy.
• Partner with data engineers, business partners, and technology vendors to acquire, structure, and manage data from multiple platforms and applications.
• Use programming languages such as SQL, R, and Python to query, connect, and validate data across multiple domains.
• Adhere to data quality standards, identify and resolve inaccuracies, and continuously improve data quality.
• Enhance efficiency through automation, AI, and modernized technology solutions.
• Collaborate with stakeholders to identify objectives where data, analytics, and visualizations can produce measurable impact.
• Maintain, adjust, and communicate consistent data entry processes for internal stakeholders.
• Mentor stakeholders on subject matter knowledge and processes to help ensure practices are repeatable, sustainable, and scalable.
• Identify productivity and efficiency improvements through process enhancement, documentation, and data accuracy.
• Demonstrate the One Team philosophy of Passion, Accountability, Customer Focus, and Teamwork.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level