Financial Analyst I — Premium Seat Sales Analytics

Live Nation; California; Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health: Medical, vision, dental and 정신

Free concert tickets

401(k) with company match

Paid holidays and time off

Tuition reimbursement

Job summary

Live Nation Entertainment is seeking a Financial Analyst I for the Premium Seat Sales Live Nation Concerts division. This entry-level role blends analytics and reporting, requiring self-motivation, curiosity, and the ability to multitask in a fast-paced environment.

You will perform variance analyses, support month-end close, and leverage SQL, Python and AI tools to build models and automate reporting. You will also work on ad hoc projects and collaborate with internal teams on data accuracy.

Qualifications

• Bachelor's degree in Accounting or Finance.
• Zero to one year of comparable work experience.
• Strong analytical, organizational, and communication skills.

Responsibilities

• Perform a variety of financial analytical tasks including variance research and reporting.
• Support month-end close processes and accruals, allocations, and journal entries.
• Leverage SQL, Python and AI tools to analyze large-scale financial data and automate reporting.
• Prepare weekly and monthly internal and external management reports.
• Identify process improvements to automate and streamline workflows.
• Collaborate with internal stakeholders to explain deviations from plan and trends.

Skills

Analytical thinking

Financial analysis

Attention to detail

Communication

Education

Bachelor's degree in Accounting or Finance

Tools

SQL

Python

Job description

Live Nation Entertainment is seeking a Financial Analyst I for the Premium Seat Sales Live Nation Concerts division. This entry-level role blends analytics and reporting, requiring self-motivation, curiosity, and the ability to multitask in a fast-paced environment.

You will perform variance analyses, support month-end close, and leverage SQL, Python and AI tools to build models and automate reporting. You will also work on ad hoc projects and collaborate with internal teams on data accuracy.