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This highly visible role offers a unique opportunity to shape the future of AI hardware at Meta, a top priority at Meta by developing key financial insights, building unit and revenue forecasts across the portfolio and driving financial initiatives. You'll contribute to groundbreaking mainstream products like Ray-Ban Meta and new product technologies, directly competing with industry giants like Google, Apple, and Samsung. This position provides unparalleled exposure, working on initiatives critical to Business leadership and Finance executives.
Job Responsibility:
Develop models to predict unit sales of Wearables hardware products
Create KPIs to measure and explain performance of the business
Query and visualize data from internal systems to develop insights into trends and opportunities
Collaborate with analytical, product, sales, demand planning, and finance teams to develop a robust understanding of product performance
Develop strong business partnerships with Demand Planning, Product Marketing, Sales, and Finance leadership overall
Develop and uplevel existing planning, budgeting, and reporting with modeling contributions
Drive process improvements by partnering with up-stream process owners and enhance current tools/systems related to financial management
Provide financial leadership across planning, budgeting, forecasting and long-range planning
Requirements:
Bachelor's degree in Math, Statistics, Economics, Computer Science, Physics, Engineering, or other quantitative field
6+ years of experience in finance, analytics or business strategy
Experience managing end-to-end forecast processes across monthly, quarterly and annual cycles
Experience forecasting and modeling techniques that support various types of strategic analytics (i.e., time series forecasting, new product entry, scenario planning)
Experience partnering with and influencing functional leaders
Experience using data, analytics and visualization technologies including SQL or a similar database querying language, Tableau, and/or advanced analytical skills using Excel and Google Sheets
Proven experience working and delivering multiple projects simultaneously, with deadlines and changing priorities
Nice to have:
Experience with consumer hardware business models
Advanced degree such as an MS or PhD in quantitative field