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Fight Pass Business Analyst

Min Experience

2 years

Location

Las Vegas, NV

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The Digital Business Analyst collaborates with UFC's digital distribution teams and partners (including iOS, Google, etc.) to conduct platform and transactional analysis. This includes researching and analyzing acquisition, churn, and purchase habits to develop recommendations for in-app promotions, social media, marketing and other growth opportunities. Collaborates with TVoD, SVoD, AVoD / FAST channel platforms and Google Analytics to be a key resource across UFC's Digital PPV, Fight Pass, and Digital Content departments. Works closely with distribution partners on data analysis and presents findings and recommendations to leaders. Develops strategies to drive app downloads, tests creative on app store fronts, and partners with international teams to localize app store experience. Manages weekly, monthly, and quarterly reports of TVoD, SVoD, and AVoD business. Builds and maintains reports and presentations to communicate performance to leadership. Ad hoc assignments, including quantitative analysis, top-of-funnel acquisition trends, and digital KPI's including acquisition, retention, and churn modeling.

About the company

UFC® is the world's premier mixed martial arts organization (MMA), with more than 700 million fans and approximately 300 million social media followers. The organization produces more than 40 live events annually in some of the most prestigious arenas around the world while broadcasting to over 950 million households across more than 170 countries. UFC's athlete roster features the world's best MMA athletes representing more than 80 countries. The organization's digital offerings include UFC FIGHT PASS®, one of the world's leading streaming services for combat sports. UFC is part of TKO Group Holdings (NYSE: TKO) and is headquartered in Las Vegas, Nevada.

Skills

excel
powerpoint
google analytics
data analysis
digital kpis
acquisition
retention
churn modeling