Manager, Global Product Analytics, Data Science

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Logo of Live Nation Entertainment

Live Nation Entertainment

10,000+ employees

Founded 1996

📱 Media

💰 Post-IPO Debt on 2023-01

Media • Entertainment

Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.

📋 Description

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives. • Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact. • Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency. • Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization. • Translate business requirements into scalable analytical solutions and measurement frameworks. • Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement. • Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner. • Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting. • Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

🎯 Requirements

• 3+ years of experience in product analytics or data science role • Advanced proficiency in Python applied to statistical modeling, predictive analytics, segmentation, forecasting, and machine learning in a product or digital analytics context • Hands-on experience with generative AI, LLM applications, and AI-enabled analytics workflows • Strong expertise in SQL and Google BigQuery • Experience working with large-scale datasets and cloud-based platforms such as Databricks • Hands-on experience with digital analytics platforms such as Adobe Analytics, Google Analytics, Contentsquare, Monetate, or Mixpanel • Familiarity with A/B and multivariate experimentation frameworks • Bachelor’s degree in Analytics, Statistics, Economics, Computer Science, or equivalent practical experience.

🏖️ Benefits

• Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or 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, plus fertility, adoption, foster, or surrogacy support • Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment • Volunteer time off, crowdfunding match

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