Product Growth Analyst

About the Role

Key Responsibilities

• Apply expertise in quantitative analysis, data mining, and the presentation of data to understand user interactions with consumer and business products.
• Identify growth opportunities, remove barriers for product adoption, retention, engagement, and monetization, and partner with growth-focused engineering teams to execute projects that accelerate Meta product growth in all markets.
• Understand funnels, ecosystems, user behaviors, and long-term trends to identify opportunities for significant growth or strategic shifts.
• Define and analyze metrics to monitor the health of product adoption and success in the markets Meta serves.
• Communicate business status, experiment results, and opportunities to product teams.
• Influence and inform product teams through data-based recommendations.
• Lead the product understanding process to identify friction points and opportunities to accelerate growth and market adoption.
• Lead the ideation and execution of product changes that drive growth, collaborating with Product Management, Engineering, Design, Content Strategy, and Data Science.
• Bring a deep understanding of growth and optimization best practices to engineering teams focused on growth.
• Drive consensus and prioritize the growth roadmap to focus on the most impactful ideas.

Requirements

• Bachelor's degree (or foreign equivalent) in Business Administration, Mathematics, Statistics, Computer Science, Environmental Science, or a related field.
• At least 3 years of work experience involving performing quantitative analysis.
• Experience working collaboratively with product management, engineering, design, data science, and data engineering teams.
• Proficiency in manipulating data sets through statistical software (including R, SAS, Pivot Tables) or other methods.
• Experience with product optimization such as funnel/website optimization and outbound communication channels like email or push notifications.
• Knowledge of SQL or other programming languages.
• Understanding of product optimization or growth best practices.
• Ability to make analytical, data-driven decisions and communicate analysis results.
• Knowledge of statistics including hypothesis testing, product experimentation, regressions, experimentation logic, and biases.

Qualifications

• Bachelor's degree or equivalent in a related field.
• 3 years of relevant experience in quantitative analysis, product optimization, and data manipulation.

Benefits & Perks

• $229,320/year to $257,400/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location.
• Compensation details listed in this posting reflect the base salary only and do not include bonus, equity, or incentives.
• Meta offers additional benefits beyond base pay.