Product Analyst, Global Product Quality

Meta; Seattle (WA); On-site; USD 136,000 - 185,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Product Analyst for the Global Product Quality (GPQ) team in Seattle to improve experiences across our apps at a global scale. You will partner with QA and internationalization to translate data into prioritized product improvements.

Use SQL and Python/R to measure quality, run experiments, and build dashboards that reveal reliability trends across markets. Influence roadmaps with data-driven insights and scalable analytics.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 5+ years of experience in product analytics, data science, or related quantitative discipline.
• 5+ years of experience with SQL and at least one scripting language (Python or R) for data extraction and analysis.
• Experience designing and interpreting product experiments (A/B testing, hypothesis testing, causal inference).
• Experience building dashboards and communicating metrics to cross-functional stakeholders.
• Ability to translate analyses into actionable roadmap recommendations and influence product decisions.
• Familiarity with AI tooling and evaluating AI outcomes is a plus.

Responsibilities

• Identify and prioritize product quality opportunities by analyzing user-facing issues, performance signals, and usability friction across Meta's apps.
• Design and execute end-to-end analyses, including hypothesis, data collection, statistical testing, and insight synthesis.
• Define, monitor, and evolve product quality metrics and health dashboards across global markets.
• Build scalable self-service data visualizations and reporting tools for product and engineering partners.
• Partner with product management, engineering, and design to translate findings into prioritized roadmap recommendations.
• Develop and maintain predictive models and forecasting analyses to anticipate quality degradation risks.
• Communicate results and data-driven recommendations to cross-functional stakeholders, adapting narratives for technical and non-technical audiences.
• Leverage AI-integrated workflows to accelerate analysis and surface insights at scale.

Skills

Analytical thinking

Communication

Storytelling with data

SQL proficiency

Statistical reasoning

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience

Tools

Python

R

Job description

Languages are key to Meta's mission of bringing the world closer together. The Meta family of products is currently available in 100 languages and is constantly adding many more. Over 70% of people use our products in a language other than English, and approximately 90% are outside of North America. As a Product Analyst supporting the Global Product Quality (GPQ) organization, you will partner with QA and internationalization teams and engineers to deliver great product experiences that feel local at a global scale.By applying your technical skills, analytical mindset, and business intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will use data and analysis to identify and solve GPQ's biggest challenges. You will influence strategy and investment decisions with data, be focused on impact, and collaborate with other teams. You won’t simply present data, but tell data-driven stories.You will join the Global Experience Analytics team with presence in Internationalization, Global Experience Platform, International Growth, Product Quality & Experience, and Local Product Experiences.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 appsDesign and execute end-to-end analyses — including hypothesis formulation, data collection strategy, statistical testing, and insight synthesis — to evaluate the impact of product quality initiativesDefine, monitor, and evolve product quality metrics and health dashboards that track reliability, performance, and user experience trends across global marketsBuild scalable self-service data visualizations and reporting tools that enable product and engineering partners to explore quality signals and diagnose regressions independentlyPartner with product management, engineering, and design teams to translate analytical findings into prioritized roadmap recommendations that reduce user-facing defects and improve product experienceDevelop and maintain predictive models and forecasting analyses to anticipate quality degradation risks and size the impact of proposed product improvementsCommunicate experiment results, quality trends, and data-driven recommendations clearly to cross-functional stakeholders, adapting the narrative for both technical and non-technical audiencesContribute to setting team-level goals by identifying measurable success metrics that connect product quality outcomes to broader business objectivesLeverage AI-integrated workflows to accelerate analysis, automate recurring quality monitoring tasks, and surface insights at greater scale and speedAdvise cross-functional partners on analytical design best practices, ensuring that research plans and experiment designs rigorously address product quality hypothesesMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience5+ years of experience in product analytics, data science, or a related quantitative discipline focused on product quality, reliability, or user experience measurement5+ years of experience with SQL and at least one scripting or statistical programming language (e.g., Python, R) for data extraction, transformation, and analysisExperience designing and interpreting product experiments, including A/B testing, hypothesis testing, and causal inference methods applied to product quality contextExperience building data visualizations and self-service dashboards that communicate product health metrics to cross-functional stakeholdersExperience translating complex quantitative analyses into clear, actionable recommendations and influencing product roadmap decisions through data-driven narrativesExperience in evaluating AI tooling or developing AI evaluationsPreferred Qualifications:Experience applying forecasting or predictive modeling techniques to anticipate product quality risks or size improvement opportunitiesDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience working on product quality, reliability engineering, or user experience analytics at a global scale across multiple product surfaces or platformsExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience integrating AI tools into analytics workflows to accelerate insight generation, automate monitoring, or expanding the analytical scopeAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$136,000/year to $185,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.