Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Responsibilities
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products. Identify the opportunities most important for growth, to remove barriers for product adoption, retention, engagement, and/or monetization, and partner with growth-focused engineering teams to execute on projects based on what’s identified to accelerate the growth and adoption of Meta products in all the markets served. Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of products to identity opportunities for step-changes and angle changes in growth. Define and analyze metrics that inform the success of products and allow to monitor the heath of product adoption in the markets Meta serve. Communicate the state of business, experiment results, opportunities, etc. to product teams. Influence and inform product teams through presentation of data-based recommendations. Lead the product understanding process using data to identify opportunities to remove friction and accelerate growth and market adoption of products. Lead the ideation and execution of product changes that drive growth, partnering with Product Management, Engineering, Design, Content Strategy and Data Science. Bring a deep understanding of growth and optimization best practices to growth focused engineering teams. Drive consensus and prioritize the roadmap of the growth-focused engineering team to drive a ruthless focus on the most impactful ideas.
Qualifications
Requires a Bachelor’s degree (or foreign equivalent degree) in Business Administration, Mathematics, Statistics, Computer Science, Environmental Science, or a related field and 3 years of work experience in the job offered or in a related occupation Requires 3 years of experience involving the following: Performing quantitative analysis Working collaboratively with product team members such as: product management, engineering, design, data science, and data engineering Manipulating data sets through statistical software (including R, SAS, Pivot Tables) or other methods Product optimization work such as funnel/website optimization and outbound communication channels like email or push notifications SQL or other programming languages Product optimization or growth best practices Making analytical, data-driven decisions and communicating the results of analyses Statistics (e.g. hypothesis testing, product experimentation, regressions, experimentation logic and biases)