Remote Lead, Product Analytics & Experimentation

Ticketmaster

California

Remote

USD 120,000 - 150,000

Part time

19 hours ago
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Benefits offered by this job

Health benefits
Concert tickets
401(k) with company match
New parent programs
Career development programs
Volunteer time off

Job summary

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to lead a scalable experimentation program across global products. You will own design and analysis of tests in Optimizely, partner with Product, Design, Engineering, Research and Analytics, and translate results into actionable product recommendations that drive fan experience and revenue.

You will mentor teams, set governance, and advance data-informed decision making through rigorous measurement and advanced analytics

Qualifications

  • Experience leading product experimentation programs from hypothesis to results.
  • Hands-on with Optimizely or similar platforms for setup and monitoring.
  • Strong statistical knowledge: hypothesis testing, power analysis, CI.
  • Ability to design complex product experiments and interpret results.

Responsibilities

  • Lead and scale the product experimentation program with governance and metrics.
  • Set up experiments, QA, instrumentation, and test monitoring in Optimizely.
  • Collaborate with Product, Design, Engineering, Research, and Analytics.
  • Translate results into actionable product recommendations.

Skills

Experimentation leadership
Optimizely
A/B testing
Multivariate testing
SQL
Databricks
BigQuery
Google Analytics
Contentsquare
AI tools
Communication
Stakeholder partnership
Coaching others
Curiosity
Diversity & inclusion
Time management
Adaptability
Resilience

Tools

SQL tools
Databricks
BigQuery
Optimizely

Job description

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to lead a scalable experimentation program across global products. You will own design and analysis of tests in Optimizely, partner with Product, Design, Engineering, Research and Analytics, and translate results into actionable product recommendations that drive fan experience and revenue.

You will mentor teams, set governance, and advance data-informed decision making through rigorous measurement and advanced analytics

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