
Manager, Product Analytics, Experimentation
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in California, +4 more states.
β’ Oversee and expand the product experimentation initiative, encompassing processes, governance, measurement standards, and team integration.
β’ Act as the practical subject-matter expert for Optimizely, which includes experiment configuration, audience targeting, quality assurance, instrumentation validation, and test oversight.
β’ Collaborate with cross-functional teams to pinpoint testing opportunities and design statistically robust A/B, multivariate, and other experimental frameworks.
β’ Analyze experiment outcomes and convert insights into recommendations that influence product strategy and roadmap choices.
β’ Work alongside stakeholders to define and assess key digital metrics linked to fan and business objectives.
β’ Leverage data analysis to uncover trends, patterns, and opportunities that enhance the overall fan experience.
β’ Develop analytical tools, methodologies, and self-service resources to support data-driven decision-making.
β’ Convert business inquiries into analytical and experimentation solutions.
β’ Foster relationships within the North America Insights and Analytics organization.
β’ Collaborate with Research to merge behavioral, experimental, and qualitative insights for a deeper understanding of fan requirements.
β’ Proven experience in leading and implementing a product experimentation program, covering hypothesis formulation, test design, execution, analysis, and recommendations.
β’ Practical experience with Optimizely or a similar experimentation platform, including setup, quality assurance, launch, and monitoring of experiments.
β’ Advanced knowledge of statistics, including hypothesis testing, power analysis, sample-size planning, confidence intervals, sequential testing, multiple-comparison adjustments, and variance reduction techniques.
β’ Demonstrated ability to identify and mitigate common experimentation challenges, such as sample ratio mismatch, peeking, novelty effects, and interactions between concurrent tests.
β’ Capability to design and execute complex product experiments, including A/B and multivariate tests.
β’ High proficiency with AI tools and large language models for analytical tasks, with sound judgment in verifying the accuracy of AI outputs.
β’ Familiarity with digital analytics tools such as Google Analytics and Contentsquare.
β’ Advanced SQL skills, with practical experience in Databricks and Google BigQuery.
β’ Exceptional communication and presentation abilities, with the skill to translate intricate analytical and experimental results into clear, engaging narratives for non-technical audiences.
β’ Medical, vision, dental, and mental health benefits for you and your family.
β’ Health care concierge services.
β’ Flexible Spending Account (FSA) or Health Savings Account (HSA).
β’ Complimentary concert tickets.
β’ Generous paid time off, including paid holidays, sick leave, and personal days.
β’ 401(k) plan with company matching.
β’ Stock reimbursement program.
β’ New parent programs, including caregiver leave.
β’ Support for fertility, adoption, foster care, or surrogacy.
β’ Career and skill development programs through the School of Live.
β’ Tuition reimbursement.
β’ Student loan repayment assistance.
β’ Volunteer time off.
β’ Crowdfunding match.
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