HIRING PRACTICES

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.
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The expected compensation for this position is:

THE TEAM & THE ROLE

The Data Analyst will report directly to the Policy Planning and Strategy team within the Information Security department. This person will play a key role by capturing, processing, and transforming multiple datasets into clear summaries to fuel data-driven decision making and solutions.
As the Data Analyst, you’ll be responsible for collating and operationalizing reports to provide business insight on system, events, and opportunities to improve across the business.
You’ll also partner closely with all teams from the Information Security organization to help with data models to visualize, validate, and support OKRs, strategy, and execution.

WHAT THIS ROLE WILL DO

• Develop and launch executive reporting framework and dashboards to support the Information Security Team at Live Nation.
• Broaden internal access to live data through development of dynamic reporting and visualization solutions.
• Assist in exploratory analysis to support thought leadership and decision making.
• Show initiative to solve business problems using modern data analysis techniques.
• Provide feedback regarding data consolidation, validation, and sourcing to data owners.
• Support Information Security teams with data development and visualizations.
• Ad-hoc Data Analysis Projects to evaluate emerging trends and hypothesis.
• Ongoing self-directed analysis to uncover data trends and system usage patterns.
• Drive continuous improvements to our products, tools, and processes by sharing learnings, constructive feedback, and input with internal technical and analytics teams.