Financial Analyst
Robert Half · Greenville, SC · 2 wk ago
On-siteFinanceFull-time
Responsibilities
- Contribute to the development of annual financial plans and assist with recurring forecast updates throughout the year.
- Prepare analyses comparing actual performance to planned results, highlighting trends, risks, and key business drivers.
- Work closely with sales and operations leaders to build financial models and provide insights that guide strategic and day-to-day decisions.
- Review operating and financial data to identify opportunities to strengthen margins, improve efficiency, and enhance business results.
- Support monthly closing activities by recording journal entries and assembling reporting materials for leadership review.
- Evaluate manufacturing costs across materials, labor, overhead, and production performance to explain variances and recommend actions.
- Develop concise summary reporting and analytical presentations for executive stakeholders.
- Build, update, and improve reports within financial planning and reporting systems to increase accuracy and usability.
- Complete special analyses and provide financial support for additional projects as business needs evolve.
Requirements
- Bachelor’s degree in Finance, Accounting, or a closely related discipline.
- At least 1 year of experience in accounting or financial analysis, with manufacturing exposure preferred.
- Demonstrated strength in financial analysis, modeling, variance review, and ad hoc reporting.
- Strong analytical and quantitative skills with the ability to interpret complex data and translate findings into recommendations.
- Able to manage multiple deadlines effectively while maintaining accuracy and attention to detail.
- Collaborative communication style with the ability to work effectively across teams in a hands-on environment.
- Proficiency in Microsoft Office, especially Excel, along with experience using financial planning, consolidation, or ERP systems.
- Familiarity with business intelligence tools such as Power BI and experience applying data analysis techniques to support decision-making.