What are the responsibilities and job description for the Senior Financial Analyst position at CSC?
Strategic Modeling and Analytics Lead
Wilmington, DE
Monday to Friday 8:00 am to 5:00 pm
Hybrid
The Strategic Modeling and Analytics Lead serves as the primary quantitative architect and strategic financial partner for CSC’s Corporate and Legal Solutions (CLS) group. Sitting at the intersection of corporate strategy, operational analytics, and financial execution, this role owns the core modeling engines—including driver-based P&Ls, product-line profitability, capacity forecasting, and AI and tech. initiative ROI—that guide executive decision-making across a $700M business unit.
In this role, you will lead and mentor a junior analytics team member, interface directly with General Managers (GMs) and Finance Business Partners (FBPs), and serve as the technical authority on BU financial modeling and product-level P&L architecture.
Key Responsibilities:
1. Strategic Modeling & P&L Architecture
- Own, maintain, and enhance the product-level P&L models, ensuring strict alignment between operational drivers and financial performance.
- Build complex, dynamic driver-based models for revenue forecasting, volume throughput, inventory/WIP, operational capacity, and resource allocation.
- Develop ROI models and benefit-realization frameworks for major technology and AI investments across the business unit.
- Conduct deep-dive monthly P&L variance analyses to identify emerging trends, margin risks, and efficiency opportunities.
2. Business Partnership & GM Engagement
- Act as the primary financial modeling advisor to General Managers and Finance Business Partners across all CLS product lines and cost drivers.
- Translate complex data and model outputs into clear, executive-level business narratives, actionable recommendations, and strategic trade-offs.
- Lead the financial modeling and assumption-vetting phase of the annual budget and recurring forecasting processes, partnering with stakeholders to stress-test revenue and OpEx projections.
3. Analytics & Dashboard Management
- Own and expand the CLS Finance Analytics Dashboard suite, integrating EPM/ERP data to deliver real-time visibility into product volumes, unit costs, capacity metrics, and global footprint efficiency.
- Partner with IT, Operations, and Corporate Finance to ensure enterprise data unification and establish a single source of truth for business unit analytics.
4. Team Leadership & Talent Development
- Directly manage, coach, and develop a junior Business Modeling & Analytics analyst, structuring their workflow across routine data gathering, dashboard maintenance, and modeling support.
- Set strategic direction for the modeling function, establishing high standards for model data quality, auditability, documentation, and speed to insight.
Qualifications & Technical Requirements
- Experience: 3 to 5 years of progressive experience in corporate finance, FP&A, financial modeling, management consulting, or corporate strategy within a medium-to-large corporate environment.
- Education: Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field required.
- Financial Modeling Mastery: Advanced, expert-level proficiency in Microsoft Excel (complex financial logic, scenario modeling, data cleansing) with a proven track record of building driver-based P&L and operational capacity models from scratch.
- People Management: Prior experience managing direct reports or demonstrated readiness to mentor, delegate to, and develop junior analysts.
- Systems & Data Architecture: Fluency with enterprise financial systems (i.e., Oracle EPM); business intelligence/data analytics tool development experience preferred (i.e., Power BI, Tableau).
- Business Acumen & Communication: Exceptional executive presence with the ability to build trust with General Managers, challenge assumptions constructively, and present complex quantitative findings clearly to senior leadership.
- Process Improvement Mindset: Proactive approach to identifying manual data friction, automating reporting workflows, and establishing robust governance frameworks.
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