WHO WE’RE LOOKING FOR- 1-2 years of experience in data analytics, business analytics, operations, reporting, consulting, finance, marketing analytics, sponsorship operations, or a related analytical discipline - Bachelor’s degree in business Analytics, Data Analytics, Statistics, Economics, Mathematics, Finance, Computer Science, Engineering, Information Systems, or a related quantitative field- Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, lookups, data validation, reporting automation, and large dataset management- Demonstrated experience transforming raw data into meaningful business insights and executive-level reporting- Strong analytical mindset with exceptional attention to detail and a passion for data accuracy and quality control- Experience managing large datasets, conducting audits, identifying discrepancies, and implementing corrective actions- Ability to independently prioritize multiple projects, manage competing deadlines, and maintain accuracy in a fast-paced environment- Strong written and verbal communication skills, with the ability to explain complex analytical findings to non-technical audiences- Experience creating client-facing reports, dashboards, presentations, and performance summaries- Familiarity with reporting tools, data visualization platforms, CRM systems, asset management systems, or database environments is strongly preferred - Experience leveraging AI tools, automation platforms, or advanced analytics technologies to improve reporting efficiency and business insights is highly desirable- An impressive work ethic with the initiative to constantly go above and beyond- Interest in sports, entertainment, media, sponsorships, or brand partnerships is a plus; however, strong analytical and operational capabilities are considered more critical than industry-specific experience- Fluency in multiple languages, particularly Spanish, is a plus- Flexibility and willingness to travel domestically and work weekends or holidays as needed. This role is highly focused on data analysis, asset management, reporting, and operational excellence, requiring an individual who enjoys working with large datasets, identifying trends, solving complex problems, and transforming data into actionable business insights.