Product Growth Analyst

Meta•Menlo Park, CA

About The Position

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.

Requirements

Bachelor's degree (or foreign degree equivalent) in Business Analytics, Analytics, Computer Science, Applied Science, or a related field and two years of work experience in the job offered or a computer related occupation.
Requires two years of experience in the following
Work in an analytical or product role
Use data querying languages (SQL, Python, or R) with functions such as case logic and joins to query large data sets
Quantitative analysis geared towards drawing actionable insights from complex datasets
Product optimization work i.e. funnel/website optimization or outbound communication channels such as email or push notifications
Design, develop and instrument A/B tests to experiment better flows for the user and
Work with cross functional partners (Engineering, PM, DS, or Design) to execute on projects

Responsibilities

Drive long-term growth of Meta products through a combination of data analysis, product ideation, and experimentation to optimize product experiences.
Use data to understand trends in user behavior and product usage to influence strategy.
Identify opportunities to drive growth and prioritize them to maximize long term growth.
Execute on projects by working closely with engineering, product management, data science and other members of product teams to land impact on product goals.
Lead experimentation from designing tests to analyzing results in order to make launch decisions.
Drive impact end-to-end through the product development life cycle.
Utilize analytics experience and expertise in using data querying languages to query large data sets and conduct quantitative analysis toward actionable insights from complex datasets.