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
Collaborate with VPs and other senior stakeholders to identify and structure high-priority programs / initiatives and process improvements across sales and go-to-market teams, to create efficiency, operational excellence, and increase ROI. Develop strategy, operating model, and execution plans for $500M-$1B portfolio of budget.Partner with cross-functional teams to define data architecture and user experience (UX) for data and technological solutions that enable efficiency and data-driven decision making. Develop execution roadmap to ensure successful implementation of solutions. Define the strategy and roadmap to accelerate growth for small and medium businesses in a programmatic manner. Partner with data science to shape targeting / machine learning models to optimize value created for advertisers and partners. Utilize AI and machine learning techniques to analyze large datasets and identify patterns and trends that can inform growth strategies and improve advertiser engagement. Design and build business reviews reflecting the performance of our key initiatives across clients, partners, and solutions. Develop analytics capability across sales programs planning and operations teams, using Generative AI to develop & automate SQL codes to help streamline operations; indirectly manage or lead analysts to advance analytical rigor across the team. Lead end-to-end analytical projects, including planning, design, development, insights, project communications, and executive storytelling – in a consistent and structured manner, using SQL / advanced data modeling and data visualization tools. Present data-driven insights and recommendations to senior leadership, influencing strategic decision-making and driving business outcomes through effective communication and collaboration. Manage communications, oversee milestones, and timelines, and lead cross-functional groups to synthesize feedback and deliver on objectives.
Qualifications
Master’s degree (or foreign equivalent) in Business Administration Business Analytics, Analytics, Operations Management, Finance or a related field and 10 years of work experience in the job offered or in a related field Requires 4 years of experience in the following: Conducting analysis using proprietary and market data, such as revenue, product, market, and industry trends, to derive insights that drive strategic business decisions Leading complex end-to-end analytic projects, including planning, design, analysis, stakeholder management, and communication Project management experience building detailed project plans, leading project launches, and ensuring the smooth running of business rhythms Advanced communication skills, with the ability to present complex ideas and insights to C-suite executives, leading to strategic decisions being made Defining and tracking key performance indicators (KPIs), metrics, and goals for complex, technology-driven business initiatives Working across regions with global business stakeholders Excel knowledge and technical skills, and experience with a variety of technical tools (e.g., SAS, SQL, R, Tableau, PowerBI) to scale insights for business decision making Leading technology transformations, working with and influencing technology leaders (CTOs, CIOs, or other senior leadership) Design and execution of operating model transformations at the VP/C-suite level Sales systems transformations and process improvements to drive sales efficiency and growth Managing business cases for multi-million budgets investments and securing executive leadership buy-in Marketing and sales analytics, with a strong understanding of statistical modeling and its applications for multi-billion-dollar businesses Developing and implementing customer targeting models to drive business growth and improve engagement Customer segmentation techniques to identify and target high-value customer segments Ability to work with large datasets, using advanced mathematical and statistical modeling (e.g., predictive modeling, scenario modeling), and developing predictive models that identify new opportunities and optimize business performance Cross-functional collaboration with data science and data engineering teams Influencing roadmaps for product and technical functions Experience managing, developing, and growing analytics and/or strategy teams