Financial Analyst I - Premium Seat Sales

Live Nation Entertainment Inc; California; Hybrid; USD 56.000 - 70.000; Vollzeit

Benefits dieser Stelle

Health insurance

Free concert tickets

401(k) with company match

Tuition reimbursement

Zusammenfassung

Live Nation Entertainment is seeking a Financial Analyst I for the Premium Seat Sales Live Nation Concerts division. The role blends entry-level analytics and reporting and requires a self-motivated, curious mindset with ability to multitask.

Responsibilities include financial analysis, variance explanations, and building scalable reports using SQL, Python, and AI tools. You will participate in month-end close, data integrity, and cross-functional collaboration with internal stakeholders.

Qualifikationen

• Bachelor’s Degree in Accounting or Finance required.
• Zero to one-year comparable work experience.
• Excellent organizational, communication, and analytical skills with the ability to prioritize and handle multiple tasks in a fast-paced environment.

Aufgaben

• Perform a variety of financial analytical tasks including researching variances and summarizing data.
• Support deviations from plan, trends and expectations with analysis.
• Leverage SQL, Python and AI tools to work with large-scale financial data and automate reporting.
• Lead process improvement projects to automate and streamline workflows.
• Prepare weekly and monthly internal and external management reports.
• Assist with month-end close processes including accruals, allocations, and journal entries.

Kenntnisse

Analytical thinking

Attention to detail

Communication skills

Ausbildung

Bachelor’s Degree in Accounting or Finance

Tools

SQL

Python

AI tools

Jobbeschreibung

Live Nation Entertainment is seeking a Financial Analyst I for the Premium Seat Sales Live Nation Concerts division. The role blends entry-level analytics and reporting and requires a self-motivated, curious mindset with ability to multitask.

Responsibilities include financial analysis, variance explanations, and building scalable reports using SQL, Python, and AI tools. You will participate in month-end close, data integrity, and cross-functional collaboration with internal stakeholders.