Business Analytics Intern (2027), Reality Labs Devices Operations

About the Team

The Reality Labs Devices Operations team helps leaders make informed decisions about resources, budgets, priorities, and execution. We develop planning processes, operating rhythms, analytical frameworks, and business tools that improve visibility across the Devices portfolio.

The team partners with program management, engineering, finance, operations, and functional leaders to translate business inputs into clear insights and actions.

Role

Meta is seeking a Business Analytics Intern to support resource and budget planning, operating rhythms, and business tooling enhancements across Reality Labs Devices.

As an intern, you will complete a clearly scoped business analytics project with guidance from a manager and mentor. You will support data collection, analysis, reporting, and process improvement. You will also use AI and analytical tools to identify patterns, summarize findings, and develop practical recommendations.

This role is designed for students and early career candidates with foundational analytical skills and an interest in technical program management and business operations. Relevant experience may come from coursework, academic projects, internships, or student leadership.

Potential Projects

Projects will be selected based on business priorities and may include:

Supporting a resource planning view that connects workforce, budget, and program priorities

Analyzing planned versus actual spending and identifying key drivers

Creating a dashboard or AI assisted workflow for recurring business insights

Improving weekly, monthly, or quarterly reporting processes

Consolidating inputs from multiple teams into a portfolio level view

Prototyping an automated reporting, reconciliation, or approval workflow

Developing a basic scenario model to evaluate resource or budget options

Improving the usability, accuracy, or adoption of an existing business tool

Responsibilities

• Complete a scoped analytics or business operations project with guidance from a manager and mentor
• Support requirements gathering with program managers, finance partners, operations leads, and other stakeholders
• Collect, organize, and validate data from multiple sources
• Analyze resource, budget, program, or operational data to identify trends and potential risks
• Use AI tools to assist with research, analysis, synthesis, and reporting
• Review AI generated outputs for accuracy, completeness, and business relevance
• Build or enhance dashboards, reports, models, or workflow prototypes
• Support operating rhythms by preparing metrics, summarizing decisions, and tracking actions
• Translate findings into clear recommendations for technical and business audiences
• Document assumptions, data sources, methodologies, and processes
• Present project outcomes to the team and relevant business partners

Minimum qualifications

• Currently in the process of obtaining a Master’s degree in Business Analytics, Business, Finance, Economics, Information Systems, Industrial Engineering, Operations, Data Analytics, or a related field
• Foundational experience analyzing data through coursework, academic projects, internships, or practical work
• Experience working with spreadsheets to organize data and support analysis
• Experience breaking down a problem into structured questions and actionable steps
• Communication skills, including presenting findings in writing or verbally
• Experience collaborating on a team project and completing work against a timeline
• Interest in resource planning, financial planning, program management, or business operations
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Intent to return to full-time degree program after completion of the internship

Preferred qualifications

• Coursework or project experience related to technical program management, project management, or operations
• Familiarity with program planning concepts such as milestones, dependencies, risks, and decisions
• Exposure to SQL, Python, Tableau, or similar analytical tools
• Exposure to budgeting, resource planning, forecasting, or financial analysis
• Experience creating a dashboard, analytical model, workflow, or business tool through coursework or a project
• Experience using AI tools for research, analysis, synthesis, or reporting
• Interest in consumer hardware, AR, VR, wearables, smart glasses, or emerging technology