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Ticketmaster

Powering Live.

Manager, Global Product Analytics, Data Science

Data AnalystData AnalystFull TimeRemoteSeniorTeam 10,001+Since 1976H1B No SponsorCompany SiteLinkedIn

Location

Arizona + 8 moreAll locations: Arizona | Florida | Iowa | Kansas | Kentucky | Louisiana | North Carolina | Pennsylvania | Texas

Posted

22 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishBigQueryCloudPythonSQL

Job Description

Manager, Global Product Analytics, Data Science

Ticketmaster

• 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.

Job Requirements

  • Exceptional communication and storytelling skills with the ability to translate complex data science and analytical findings into clear, compelling narratives for senior executives.
  • 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, with a track record of applying these to improve analytical outcomes.
  • 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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