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

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 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