Finance Analyst

Performix•Fairfield, OH
•Hybrid

About The Position

The Plant Cost & Financial Analyst supports the Plant Controller in delivering accurate, timely, and insightful manufacturing finance reporting. The role owns a recurring cadence of weekly and intra-week reports, including WIP, inventory transactions, material usage variance, PPV, and the plant P&L. The analyst also prepares the Analysis of Change (AOC) explaining period-over-period movements in plant performance. The role turns transactional data into clear explanations of cost drivers and flags anomalies early so the Controller and Operations leadership can act on them. The position is based in Fairfield, Ohio, with on-site work Monday through Thursday and work from home on Friday. The stated duration is three months, with the possibility of extension.

Requirements

  • Bachelor's degree in Accounting, Finance, or a related field.
  • Understanding of standard costing, inventory valuation, WIP, PPV, and usage variances.
  • Advanced Excel skills, including pivot tables, lookups, and data modeling.
  • Experience working with ERP data.
  • Strong attention to detail and ability to reconcile data across multiple sources.
  • Analytical rigor to explain the reasons behind financial results.
  • Ownership and reliability in delivering a high-frequency reporting cadence on time.
  • Proactive communication to flag anomalies and data errors early.

Nice To Haves

  • Desirable experience in cost accounting, manufacturing finance, or plant finance.
  • Experience with Oracle ERP, including costing, inventory, and subledger reporting.
  • Exposure to engineer-to-order or project-based manufacturing environments.
  • Experience with Power BI, Power Query, or other reporting automation tools.
  • Bilingual English/Spanish is a plus.

Responsibilities

  • Support the Plant Controller in delivering accurate, timely, and insightful manufacturing finance reporting.
  • Own recurring weekly and intra-week reporting for WIP, inventory transactions, material usage variance, PPV, and the plant P&L.
  • Prepare the Analysis of Change (AOC) to explain period-over-period movements in plant performance.
  • Translate transactional data into clear explanations of cost drivers.
  • Identify and flag anomalies and data errors early, with a proposed next step.
  • Reconcile data across multiple sources.
  • Collaborate with Master Data, Operations, Purchasing, and Finance partners.
  • Simplify and automate recurring work.
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