Business Analyst III (6209)

Responsibilities

• Build and maintain bottom-up sell-through and sell-in demand forecasts for VR headsets and wearable hardware products using quantitative and qualitative data.
• Partner with sales account managers, category managers, marketing teams, channel operations, and data analysts to improve forecast accuracy and identify business growth opportunities.
• Analyze weekly, monthly, quarterly, and annual sales performance, identifying trends, risks, and opportunities across hardware and accessory product lines.
• Own actual-versus-forecast performance analysis by identifying root causes, recommending corrective actions, and monitoring forecast effectiveness.
• Present forecast assumptions, business insights, and performance updates to Reality Labs leadership and cross-functional stakeholders.
• Create forecasting models by analyzing large datasets, identifying trends, dependencies, and correlations to improve planning accuracy.
• Support production planning and product launch decisions through close collaboration with channel operations and business teams.
• Create high-quality reports, dashboards, and executive presentations while managing ad hoc forecasting requests and business analyses.
• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material (blogs, media material).
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events (in person and virtual).
• Work with leadership on career fast-track opportunities.

Requirements

• 4+ years of experience in hardware product demand forecasting, planning, or forecasting analytics.
• 6+ years of experience in business strategy, business analytics, finance, sales planning, or related analytical roles.
• Experience building demand forecasting models for consumer hardware products.
• Advanced proficiency with Microsoft Excel, Google Sheets, Google Workspace, and PowerPoint.
• Experience performing quantitative analysis and translating data into business recommendations.
• Strong cross-functional collaboration and stakeholder presentation skills.
• Ability to independently execute day-to-day forecasting, reporting, and business analysis activities.

Preferred Qualifications And Skills

• Experience forecasting physical consumer goods or consumer electronics.
• Experience using enterprise forecasting platforms such as O9 or similar planning systems.
• Experience supporting AR/VR, consumer technology, or hardware product organizations.
• Bachelor's degree in Business, Finance, Analytics, Supply Chain, Economics, or a related field.

Benefits

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.