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.

Data Analyst, Global Partnerships & Content Responsibilities

• Apply expertise in quantitative analysis and the presentation of data in developing an authoritative view on the value that Meta's products deliver to both Meta and partners (creators, media publishers etc.).


• Collaborate directly with other teams to leverage analyses to inform, influence, support, and execute product and business strategy decisions.


• Advocate for partner-growth centric approach to inform product strategy while working cross-functionally across the Family of Apps, as well as with Product Management and Data Science.


• Contribute to technical day-to-day feedback on analyses.


• Proactively participate in discussions about product growth with executives and stakeholders while ensuring that analyses lead to clear, actionable, recommendations and impactful decisions.

Minimum Qualifications

• Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, Computer Engineering, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a quantitative analysis-related occupation. Requires five years of experience in the following:


• Designing, monitoring and analyzing key performance indicators (KPIs) to make performance-related determinations


• Experience designing or developing performance tracking dashboards using SQL, Excel or Tableau


• Experience designing data warehouses involving large data sets


• Client relationship management, including experience collaborating with representatives of cross-functional departments


• Sales or product performance analysis in regional or international markets


• Performing project management based on analysis of business or technical requirements


• Experience overseeing data warehousing initiatives or operations and formulating data-driven product or business solutions