Business Analyst

2 days ago

Detroit, Michigan, United States AEG Full time
About Us

AEG is a world-renowned entertainment company that values innovation, creativity, and drive. Our mission is to create an inclusive and equitable experience for employees, partners, and fans. We believe in the power of a pride and acknowledge that winning together takes understanding, acceptance, and teamwork.

Job Summary

We are seeking a highly skilled Business Analyst to join our team. As a Business Analyst, you will drive strategic insights through research and analytics, enabling the organization to achieve success in year-round business initiatives and goals. Your primary focus will be on the ticketing business vertical, where you will lead reporting efforts, develop innovative ticket pricing strategies, and contribute significantly to our industry-leading demand forecasting and dynamic pricing initiatives.

Key Responsibilities
  • Oversee the creation and management of essential ticketing reports, implementing automation and data quality assurance processes to ensure accuracy and efficiency
  • Analyze fan ticket usage patterns to make recommendations on improving the fan experience
  • Continuously observe ticket market dynamics to recommend strategic changes in ticketing pricing and inventory usage
  • Develop robust sales forecasting solutions to enable organization to optimize sell-through and enhance marketing efforts
  • Develop and maintain accurate and actionable data models for ticketing reporting and analytics use cases
  • Generate insights and predictive models aimed at improving customer retention strategies
  • Effectively communicate insights and strategic recommendations to senior stakeholders
  • Serve as domain expert for the ticketing business unit within the analytics department
Requirements
  • Bachelor's degree in data-intensive discipline (information sciences, statistics, economics, computer science, etc.)
  • Minimum of 1-2 years of business analytics or related experience
  • Technical skills: experience performing analysis on a data warehouse or large relational databases using SQL queries, knowledge of data modeling techniques and best practices, experience in troubleshooting and assessing data issues, with ability to recommend and/or implement solutions, experience in automating and creating reports using Python, experience with interacting and retrieving data from APIs, demonstrated experience and understanding of SaaS data visualization solutions, including but not limited to Qlik Sense and PowerBI, experience with version control systems such as Git is preferred
  • Statistical and Machine Learning Knowledge: working knowledge of statistics and machine learning and understanding of how to apply to real world opportunities, demonstrated experience in building and deploying machine learning or statistical models is preferred
Personal Attributes
  • Proactive attitude towards learning, constantly seeking out new knowledge and skills
  • Entrepreneurial drive to iterate and improve business processes and solutions
  • Exhibits strong perseverance and resilience, consistently tackling challenges head-on and finding solutions even in the face of adversity
  • Detail-oriented, holding a high personal standard for completeness and accuracy
  • Ability to multi-task and effectively adjust to rapidly changing market and business conditions
How to Apply

To apply, please submit a copy of your resume along with a cover letter detailing your interest and related experience to the position. Due to the high volume of resumes received, we regret that we are unable to update candidates on the status of their application. Those selected for further consideration will be contacted. Please no phone calls or emails.

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