Facebook is an American for-profit corporation and online social media and social networking service based in Menlo Park, California. The Facebook website was launched on February 4, 2004, by Mark Zuckerberg, along with fellow Harvard College students and roommates, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes. Wikipedia
Facebook is an American for-profit corporation and online social media and social networking service based in Menlo Park, California. The Facebook website was launched on February 4, 2004, by Mark Zuckerberg, along with fellow Harvard College students and roommates, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes. Wikipedia
Join us and many others by sharing your support to make universal internet access for everyone in the world a reality. http://www.one.org/connecttheworld #connecttheworld #globalgoals
@internetdotorg is for people like Neesha. She has so much potential, but no internet access. Get her online, and the world opens up to her like never before.
Tag your friends who know how to give a great belly rub.
We created @internetdotorg to connect people like Erika and Esmeralda. Two of the 4.5 billion without internet. Just imagine what they could do with it.
Join us and many others by sharing your support to make universal internet access for everyone in the world a reality. http://www.one.org/connecttheworld #connecttheworld #globalgoals
@internetdotorg is for people like Neesha. She has so much potential, but no internet access. Get her online, and the world opens up to her like never before.
Tag your friends who know how to give a great belly rub.
We created @internetdotorg to connect people like Erika and Esmeralda. Two of the 4.5 billion without internet. Just imagine what they could do with it.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.
Define the processes needed to achieve operational excellence in all areas, including project management and system reliability; build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities; inform, influence, support, and execute our product decisions and product launches.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities; inform, influence, support, and execute our product decisions and product launches.
Identify specific opportunities to leverage new data sources or systems to improve ads delivery or measurement for marketers; assess the validity and rigor of new data sources and approaches, establishing scalable frameworks for ongoing evaluation as appropriate.
Use existing insights, and develop an understanding agenda to unearth new ones, to drive the product strategy; partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
Act as an internal consultant by understanding business needs, scoping data requests, synthesizing insights, and recommending solutions to business partners in collaboration with the People Research team.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.
Apply your technical expertise to help solve, inform, influence, support, and execute our HR business decisions for the People Analytics team and all of our clients (HR Business Partners, L&D, Diversity, People Growth, People Operations, Global Mobility, Benefits, and Equity).
Incubate revenue programs: design in-market tests that can scale to be major drivers of growth through our sales and marketing channels; own the end-to-end implementation of revenue programs, including: ensuring timely delivery, project manage all aspects of implementation, working with analytics team to establish tracking and measurement framework.
Learn new tools and languages quickly as required by the particular project you are working on, with tasks ranging from data processing to production engineering to modeling and machine learning.
Partner with the central leaders of the SMB sales teams on strategic, operational, and financial planning decisions; develop strong collaborative relationships with key stakeholders across the company and represent the SMB team with cross-functional teams.
Understand the competitive landscape of products and Company's relative position to inform the product growth strategy and design; spreading best practices for growth with product teams to drive impact.
Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical methodologies on top of Facebook's unparalleled data infrastructure.
Experience in multivariate statistical methods such as GLM, analysis of quasi-experimental research designs with non-equivalent groups (e.g., regression adjustment, matching, propensity score stratification), longitudinal analysis, classification, dimension reduction, clustering, hierarchical linear (random effects) modeling, categorical analysis, etc.
Apply your expertise in quantitative analysis, and the presentation of data to see beyond the numbers, incorporate qualitative insights, and understand how our customers interact with our core products.
Collaborate with cross-functional data and product teams across business applications to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions.
Define the processes needed to achieve operational excellence in all areas, including project management and system reliability; proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Be a thought leader and go-to expert for SMB program goals, strategy, and long-term vision; lead and conduct deep-dive analyses to identify needs and priorities of the SMB business.
Apply expertise in quantitative analysis and the presentation of data to help inform, influence, support, and execute business decisions for the People team and Tech function
Leverage tools such as SQL, Tableau, Workday, Visier, and Excel to drive analytics.
Provide sophisticated quantitative and qualitative analysis on market trends, consumer behaviors, competitive moves to help drive product and business strategy.
Become an expert in comprehensive processes spanning multiple functions and datasets, digging into the details through focus groups and stakeholder feedback to summarize context, problems, and solutions.
Investigate current workflows and process-related pain-points by interviewing and shadowing sales and marketing field agents; document existing workflows and re-create more secure workflows to show the gap between the current and ideal end states.
Develop methods and tools to unlock access of data to non-technical stakeholders across the Partnerships Organization; optimize and maintain existing data pipelines, ensuring that data arrives accurately and on-time.
Annual Report 
