FP& A Manager

We are looking for an experienced FP& A Manager to join a manufacturing organization in Pittsburgh, Pennsylvania on a Long-term Contract basis. This role is focused on strengthening the quality, organization, and usability of historical financial information to support strategic business objectives and future transaction readiness. The ideal candidate will bring a hands-on approach to financial analysis, work comfortably with complex datasets, and create clear reporting that helps leadership make informed decisions.

Responsibilities:
• Rebuild and verify historical financial records across recent fiscal periods to improve accuracy and readiness for stakeholder review.
• Assemble detailed financial packages and supporting analysis designed for transaction preparation and external information requests.
• Refine general ledger data and standardize plant-level profit and loss reporting to improve consistency across the organization.
• Produce customer, product, and margin analyses that highlight profitability trends and business performance drivers.
• Design SG& A forecasting tools and streamline recurring SG& A reporting through more efficient processes.
• Develop monthly dashboards and management reports that translate financial data into actionable business insights.
• Create repeatable reporting procedures and documentation that strengthen controls, data integrity, and ongoing consistency.
• Extract, manipulate, and analyze large volumes of information from SAP and related systems to support reporting and financial analysis.• Demonstrated experience in FP& A, financial analysis, or finance transformation roles.
• Advanced Excel capabilities, including complex modeling, pivot tables, and large-scale data analysis.
• Strong background working with high-volume historical financial data and reporting structures.
• Prior involvement in M& A support, sale preparation, due diligence, or financial cleanup initiatives is strongly preferred.
• Hands-on experience with SAP, including extracting and working with large datasets.
• Ability to operate independently and succeed in a highly detail-oriented, hands-on environment.
• Solid financial modeling, budgeting, and analytical problem-solving skills.
• Excellent attention to detail with the ability to organize complex information into clear reporting outputs.