Product Analyst, Global Product Quality

Responsibilities

• Identify and prioritize product quality opportunities by analyzing user-facing issues, performance signals, and usability friction across Meta's family of apps
• Design and execute end-to-end analyses — including hypothesis formulation, data collection strategy, statistical testing, and insight synthesis — to evaluate the impact of product quality initiatives
• Define, monitor, and evolve product quality metrics and health dashboards that track reliability, performance, and user experience trends across global markets
• Build scalable self-service data visualizations and reporting tools that enable product and engineering partners to explore quality signals and diagnose regressions independently
• Partner with product management, engineering, and design teams to translate analytical findings into prioritized roadmap recommendations that reduce user-facing defects and improve product experience
• Develop and maintain predictive models and forecasting analyses to anticipate quality degradation risks and size the impact of proposed product improvements
• Communicate experiment results, quality trends, and data-driven recommendations clearly to cross-functional stakeholders, adapting the narrative for both technical and non-technical audiences
• Contribute to setting team-level goals by identifying measurable success metrics that connect product quality outcomes to broader business objectives
• Leverage AI-integrated workflows to accelerate analysis, automate recurring quality monitoring tasks, and surface insights at greater scale and speed
• Advise cross-functional partners on analytical design best practices, ensuring that research plans and experiment designs rigorously address product quality hypotheses

Requirements

• 5+ years of experience in product analytics, data science, or a related quantitative discipline focused on product quality, reliability, or user experience measurement
• 5+ years of experience with SQL and at least one scripting or statistical programming language (e.g., Python, R) for data extraction, transformation, and analysis
• Experience designing and interpreting product experiments, including A/B testing, hypothesis testing, and causal inference methods applied to product quality context
• Experience building data visualizations and self-service dashboards that communicate product health metrics to cross-functional stakeholders
• Experience translating complex quantitative analyses into clear, actionable recommendations and influencing product roadmap decisions through data-driven narratives
• Experience in evaluating AI tooling or developing AI evaluations

Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience applying forecasting or predictive modeling techniques to anticipate product quality risks or size improvement opportunities
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience working on product quality, reliability engineering, or user experience analytics at a global scale across multiple product surfaces or platforms
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Benefits

$136,000/year to $185,000/year + bonus + equity + benefits

Pay

$136,000/year to $185,000/year

Schedule

N/A