Data Analyst at AEG in Los Angeles, CA

Summary: AEG is a leader in transforming sports and live entertainment, hosting millions of guests and events annually. The Data Analyst will collaborate with the executive team to develop strategies that drive business improvement through quantitative modeling and performance analysis. Responsibilities: - Develop predictive and statistical models to improve performance across all AEG Presents business lines, by gathering, cleansing, and analyzing data from multiple defined and undefined data sources using data extraction and analysis tools (SQL, Excel, PowerBI), and using statistical/programming tools (Python, R) to design and execute advanced analytics (regression, clustering, time series, etc.) - Lead implementation of statistical data models into proprietary custom-built software platforms for use in AEG Presents business operations, working collaboratively with the digital team and other business stakeholders by defining requirements and developing underlying data structures - Design and execute financial and operational analysis by leveraging in-house and 3rd party operational, transactional, and financial data, and use visualization tools to develop business performance reports for AEG Presents management across multiple departments (e.g., festivals, venues, touring) Required Qualifications: - BA/BS Degree (4-year) - 0-2 years Of related work experience - Strong quantitative analytical skills, with the ability to derive insights from large data sets, exceptional attention to detail, and a desire to creatively solve challenging problems - Excellent written and verbal communication skills, with the ability to present findings from technical analysis to non-technical audiences - General business acumen, with the ability to analyze the live events industry and recommend business improvements - Ability to learn quickly and manage projects independently - Proficiency in data science programming languages (Python and/or R) - Proficiency in SQL, experience with data visualization tools (e.g., Tableau, PowerBI) Preferred Qualifications: - Music or other entertainment experience a plus, as well as a passion for music and knowledge of artists and industry trends preferred - Familiarity with basic financial statements (profit and loss, balance sheet) preferred Required Skills: Data analysis, Statistical modeling, SQL, Python Important Skills: Data visualization, R Nice-to-Have Skills: Business acumen, Music industry knowledge, Project management Benefits: Medical, dental and vision insurance, Paid holidays, Vacation and sick time, Company paid basic life insurance, Voluntary life insurance, Parental leave, 401k Plan (with a current employer match of 3%), Flexible spending and health savings account options, Wellness offerings