Company:
At Kem Krest, we are more than a supply chain solutions provider—we are a trusted partner to some of the world’s leading automotive, heavy-duty, and powersports OEMs. As a certified minority-owned business, we deliver customized services in packaging, logistics, and compliance with a focus on innovation, quality, and customer success.
With a global network, high-touch service, and a relentless commitment to quality, Kem Krest is the go-to partner for companies seeking to streamline operations, reduce costs, and accelerate growth. Join us and be part of a team that’s passionate about making supply chains smarter, and partnerships stronger.
Opportunity:
Kem Krest is seeking a highly analytical Senior Financial Planning and Analysis Analyst to lead budgeting, forecasting, financial modeling, and data-driven analysis. This role will transform complex financial and operational data into actionable insights, identify opportunities for process improvement and automation, and partner across Finance, Operations, and technology teams to support business decisions and drive financial performance.
Responsibilities:
- Independently build budget structures and consolidate budgets and financial forecasts to guide the company’s financial planning.
- Build financial models to predict future financial performance and assess the impact of different business scenarios.
- Create and update profitability analysis by program and site.
- Analyze differences between actual financial results and budgeted figures; may initiate additional or in-depth analysis based on trends identified in financial reporting.
- Prepare reports on key performance indicators (KPIs) and other financial metrics.
- Execute ad hoc analysis to support specific business decisions.
- Develop end-to-end management reports, dashboards, and visualizations that integrate financial and operational data and deliver actionable insights to leaders.
- Perform ROI analysis on investments.
- Assist Site Controllers with forecasts, analysis, and reporting as required.
- Apply advanced problem-solving and root-cause analysis to complex financial and operational challenges; partner across Finance, Operations, and technology teams to communicate findings, recommend solutions, and influence process improvements.
- Extract, consolidate, and manage large volumes of financial and operational data from ERP and other source systems, including developing queries, data connections, exports, and repeatable data processes with limited reliance on IT support.
- Apply data modeling, structuring, cleansing, validation, and data-governance fundamentals to organize complex datasets and ensure they are accurate, scalable, reproducible, and analysis-ready.
- Identify and implement opportunities to automate recurring financial analyses, reporting, and data-preparation processes to improve accuracy, efficiency, and scalability.
- Collaborate with business and technical partners to improve data models, reporting solutions, and connections between disparate financial and operational data sources.
Your Contributions:
Education:
- Bachelor’s degree in Finance, Accounting, Business, Economics, Mathematics, Statistics, Data Analytics, Engineering, or another quantitative field required. Candidates without a degree may qualify with 5+ years of directly relevant, equivalent experience. An advanced degree in a quantitative or analytical field is a plus.
Experience:
- 3+ years of relevant functional experience.
- Strong financial and business acumen, with the ability to understand how financial processes and transactions impact broader business results.
- Ability to analyze financial, operational, and other business data to identify trends, solve complex problems, and turn findings into actionable insights.
- Strong business partnership skills with the ability to work effectively across Finance, Operations, and technology teams.
- Understanding of financial and regulatory standards, including GAAP.
- Ability to clearly communicate complex financial, analytical, and technical concepts to business leaders.
- Experience with business intelligence and data visualization tools such as Power BI or Tableau preferred.
- Experience with analytical tools such as SQL, Power Query, DAX, Python, or similar tools preferred.
- Experience automating recurring reports, analyses, or business processes preferred.
- Experience combining financial and operational data from multiple systems or sources preferred.
- Advanced degree in a quantitative or analytical field is a plus.
- Commitment to following applicable Quality Management System procedures and customer-specific requirements.
Why Kem Krest?
- Competitive Salary
- Annual Bonus Program
- Immediate Health Benefits
- Free On-site Clinics & Prescriptions
- 401K Match
- Tuition Reimbursement
- Generous PTO & Holiday
- Parental Leave
- Supplier Discounts