Data Analyst, Metrics & Reporting

Live Nation Entertainment is a global live entertainment company operating across ticketing, concerts, and media and sponsorship. The Data Analyst for Cyber Security Metrics & Reporting will support the Strategy team by building, maintaining, validating, and improving dashboards and reports, while ensuring accurate data, clear documentation, and useful operational insights.

Responsibilities:

• Build, update, and maintain dashboards, reports, and visualizations that support Cyber Security metrics and reporting needs
• Support recurring executive and operational reporting for Cyber Security goals, KPIs, risks, trends, and performance
• Gather and organize reporting requirements from stakeholders with guidance from the Strategy team
• Ask clarifying questions to understand the purpose of a report, the audience, and the decision the report is intended to support
• Use SQL and reporting tools to extract, clean, organize, and analyze data from multiple sources
• Perform basic data validation checks before sharing dashboards or reports, including checking totals, filters, joins, date ranges, duplicates, missing values, and metric logic
• Document assumptions, data sources, calculations, and known limitations in dashboards and reports
• Identify when data does not look right and escalate questions or concerns before publishing or presenting results
• Support exploratory analysis to identify trends, anomalies, patterns, and potential areas for follow-up
• Help translate data into simple summaries that explain what changed, where it changed, and why it may matter
• Partner with Cyber Security teams to better understand operational processes, source systems, and metric definitions
• Assist with data cleanup, reporting automation, and process improvement efforts
• Learn and apply best practices for dashboard design, data storytelling, quality control, and stakeholder communication
• Use AI-assisted tools responsibly where appropriate to support learning, documentation, SQL troubleshooting, and productivity, while validating outputs before use

Requirements:

• You're early in your analytics career, but you bring strong curiosity, ownership, and attention to detail
• You enjoy turning data into useful information. You are comfortable learning new tools, working with imperfect data, and receiving feedback. You care about accuracy and understand that dashboards are only valuable when the numbers are trusted and the story is clear
• The ideal candidate is not expected to be a senior analytics expert on day one. However, they must show strong analytical curiosity, a willingness to learn, accountability for quality, and the ability to explain what they see in the data. This role is remote and based in the United States
• 2-4 years of experience in data analytics, business intelligence, reporting, operations analytics, cybersecurity analytics, business analytics, or a related role
• Working knowledge of SQL, including joins, filtering, aggregations, and troubleshooting basic query issues
• Experience building dashboards or reports in Tableau, Power BI, Domo, Looker, or a similar BI platform
• Strong Excel skills, including pivot tables, formulas, data cleaning, and basic analysis
• Ability to review data carefully and identify inconsistencies, missing information, or results that do not make sense
• Strong attention to detail and willingness to check work before sharing it
• Ability to summarize findings clearly and concisely for non-technical audiences
• Ability to connect how the business operates and how data connects to real-world processes
• Strong communication skills and willingness to ask questions when requirements are unclear
• Ability to receive feedback, revise work, and improve over time
• Comfort working independently in a remote environment while keeping stakeholders informed
• Strong documentation habits, including documenting processes, tracking data sources, assumptions, logic, and open questions
• Experience with Tableau
• Experience with Python for data cleaning, analysis, validation, or automation
• Familiarity with Databricks, Databricks SQL, notebooks, data lakes, or cloud analytics platforms
• Exposure to Cyber Security, risk, compliance, technology operations, incident management, change management, vulnerability management, or IT operations
• Familiarity with AI-assisted tools such as ChatGPT, GitHub Copilot, Databricks Assistant, or similar tools
• Experience creating written summaries, business insights, or dashboard narratives
• Experience working with multiple data sources or messy datasets
• Interest in developing toward a senior BI, analytics, or data storytelling role