Manager, Product Analytics, Experimentation

Posted 21 hours ago

This is a fully remote position, open to applicants in California, +4 more states.

πŸ“‹ Description

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.


⛳️ 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.


🏝️ Benefits

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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