Financial Planning and Analysis Intern

GAF•Parsippany, NJ

2d•Onsite

About The Position

At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most. Commercial FP&A Intern – (Summer) Department: Commercial Finance Reports To: Manager, Commercial FP&A Role Type: Full-Time Internship (Summer) Job Summary The Commercial FP&A Intern is a key analytical resource within the GAF Finance team focused on comprehensive financial analysis, data visualization, and financial modeling for the Commercial Roofing business segment. Reporting to the Commercial FP&A leadership, this role provides hands-on exposure to corporate finance, commercial strategy, and business planning. The ideal candidate pairs strong data intellectual curiosity—a natural drive to dig into raw metrics, ask "why," and uncover underlying business trends—with practical experience in financial modeling to deliver actionable, visual insights to cross-functional stakeholders.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Finance, Business Analytics, Economics, Accounting, or a related quantitative discipline (rising Junior, Senior, or Graduate student).
Foundational knowledge of corporate financial analysis, financial statement modeling, and advanced analytical concepts.
Hands-on coursework, academic projects, or prior internship experience creating, customizing, and maintaining dashboards is highly desired.
High proficiency with complex formulas (Pivot tables, XLOOKUP/VLOOKUP, INDEX/MATCH, and scenario modeling).
An innate desire to look beyond surface numbers, test hypotheses, and solve complex business puzzles.
Demonstrated forward-thinking, creativity, and the ability to break down multi-faceted challenges.
High standard for data accuracy with success in meeting deadlines under pressure.
Strong interpersonal skills with the ability to build working relationships across teams, influence by example, and thrive in a fast-paced environment.

Nice To Haves

Hands-on coursework, academic projects, or prior internship experience creating, customizing, and maintaining dashboards is highly desired.

Responsibilities

Support comprehensive financial analysis of the Commercial Roofing P&L, building and refining financial models to evaluate pricing, volume mix, raw material costs, and manufacturing/distribution impacts.
Assist in the annual planning process and forward-looking forecasts. Utilize financial models to project business impacts, mitigate risks, and highlight value-creation opportunities.
Conduct root-cause analysis on sales, profitability trends, and pricing variances to provide actionable insights for the commercial business.
Act as a data visualization champion by utilizing Tableau and Excel to transform complex, multi-source financial data into automated, interactive dashboards for leadership and the field sales team.
Monitor commercial performance metrics and KPIs, synthesizing massive datasets into real-time visibility for pricing execution and sales growth strategies.
Demonstrate the ability to simplify complex financial models and narratives for non-financial stakeholders, effectively influencing cross-functional leaders to take action based on visual data.
Apply data intellectual curiosity to proactively audit commercial data streams (e.g., Salesforce, ERP systems), identifying anomalies and new sources of data needed for decision-making.
Assist in creating procedures to enhance the efficient collection and organization of data across the Commercial function, streamlining weekly and monthly sales reporting routines.
Gain an understanding of the organization’s reporting mechanisms, helping to troubleshoot data discrepancies and suggesting areas for system and workflow improvement.