Financial Analyst

**The Opportunity**

JGL is seeking a highly analytical, curious, and detail-oriented Financial Analyst to support data-driven decision making across our agricultural operations, trading divisions, and financial services. This role is ideal for someone who thrives in a fast-paced environment and enjoys solving complex problems through data. The Financial Analyst will build and maintain financial and operational models, generate clear and actionable insights, and prepare regular dashboards and performance reports for the Executive team while also supporting ongoing M&A activity through valuation modeling, due diligence, and strategic analysis. In addition, this role may provide mentorship and direction to a junior analyst or co-op student by overseeing tasks related to data collection, spreadsheet maintenance, and ad-hoc reporting to ensure high-quality outputs and support the development of emerging talent within the organization.

**About JGL**

At JGL, we believe a strong business is built on friendly, trustworthy service and lasting relationships. These values continue to define who we are today, shaping how we serve our customers and how we support our employees, partners, and communities. Across our group of companies, we provide tailored products and services designed to help farming and ranching operations thrive throughout North America. By investing in our people, embracing innovation, and staying rooted in the values that built our business, we are committed to driving growth, resilience, and long-term sustainability in agriculture.

**Key Responsibilities**

**Analytics and Reporting**
- Collect, validate, and analyze operational, financial, and market data across JGL’s integrated business units, including commodities, livestock, financial services, and ag retail and agronomy.
- Develop, maintain, and deliver weekly, monthly, and quarterly dashboards and performance reports for Executive review, ensuring accuracy, clarity, and relevance.
- Monitor and evaluate industry trends, commodity markets, and macroeconomic indicators to assess potential impacts and emerging risks or opportunities for the business.
- Design and refine forecasting models to project revenue, cost of goods, inventory positions, and operational KPIs.
- Identify performance gaps, inefficiencies, or variances and provide practical, data-driven recommendations to improve operational effectiveness and financial outcomes.

**Model Development and Strategic Planning**
- Build, refine, and maintain financial, operational, and business models to support corporate growth strategy, budgeting cycles, and risk management planning.
- Collaborate with trading, operations, agronomy, and finance teams to model margin scenarios, feed ingredient flows, logistics planning, capital requirements, or product line profitability.
- Support ongoing M&A activity by preparing valuation models, conducting due diligence, and assessing potential strategic investments.
- Complete scenario planning and what-if analysis to guide leadership through major investment decisions, operational expansions, or strategic initiatives.
- Contribute to annual budgeting and long-range planning processes by preparing structured data inputs, assumptions, sensitivities, and analytics summaries.

**Collaboration and Communication**
- Partner with senior leaders and department heads to understand reporting needs, data gaps, and emerging business priorities.
- Translate complex datasets into clear, concise, and actionable insights that can be easily understood by technical and non-technical audiences.
- Present analytical findings to leadership, participate in strategic discussions, and support the development of business cases and investment proposals.
- Supervision and Support
- Provide guidance, direction, and mentorship to a business or data analytics junior analyst or co-op student.
- Delegate tasks involving data collection, spreadsheet and database maintenance, research projects, and ad-hoc report generation.
- Review work for accuracy, completeness, and consistency, and provide constructive feedback to support learning and development.

**What You Bring**
- Bachelor’s degree in Business, Agricultural Economics, Finance, Accounting, Statistics, Data Science, or a related field. An MBA or CFA is considered a strong asset.
- 2 to 4 years of experience in business analytics, accounting, or banking, ideally within the agriculture sector.
- High proficiency with Excel, Power BI, and other data visualization tools. Experience with SQL, ERP platforms, or advanced analytics tools is a significant advantage, particularly in agriculture or commodity-based environments.
- Strong financial modeling, forecasting, and scenario-building capabilities, with a solid understanding of agriculture cycles, commodity trends, and market volatility.
- Excellent written and verbal communication skills, with the ability to translate complex data into clear insights for operational, commercial, and e