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

Preferred

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

Python

Data Analysis

Data Automation

Databricks

Databricks SQL

Jupyter Notebooks

Data Lakes

Cloud Analytics

Cybersecurity

Risk Management

Compliance

Technology Operations

Incident Management

Change Management

Vulnerability Management

IT Operations

AI-Assisted Tools

ChatGPT

GitHub Copilot

Databricks Assistant

Business Summaries

Dashboard Narratives

Data Integration

Messy Dataset Management

Data Storytelling

Written Communication

Business Insight Development

Learning Orientation

Benefits

Medical, vision, dental and mental health benefits for you and your family

Access to a health care concierge

Flexible Spending Accounts (FSA) or Health Savings Accounts (HSA)

Free concert tickets

Generous paid time off including paid holidays, sick time, and personal days

401(k) program with company match

Stock reimbursement program

New parent programs including caregiver leave and baby bonuses

Fertility, adoption, foster, or surrogacy support

Career and skill development programs with School of Live

Tuition reimbursement

Student loan repayment

Volunteer time off

Crowdfunding match

Remote work in the United States

Company

Live entertainment events, ticketing, and sponsorship company

Beverly Hills, California, USA

https://www.livenationentertainment.com/

Founded in 2005

10001+ employees

Qualifications

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

2-4 years of experience in data analytics, business intelligence, reporting, operations analytics, cybersecurity analytics, business analytics, or a related role.

Required skills

SQL, Data analytics, Dashboard development, Tableau, Power BI, Domo, Looker, Microsoft Excel, Python, Data validation, Data visualization, Cybersecurity analytics, Analytical curiosity

Preferred skills

Experience with Tableau

Experience

2+ years