Sr Financial Analyst

Under general supervision, provides expertise and leadership to management in analysis of major projects and proposals related to revenue, strategy, capital, operations, and expense utilizing computer modeling techniques.

• Assists in developing financial models to be used in business decisions.
• Tests newly developed financial models and validates results.
• Consistently meets deadlines and demonstrates an ability to self-manage multiple projects simultaneously.
• Proactively anticipates questions and adapts messaging to audience
• Effectively presents to diverse audiences and uses diplomacy in working through issues
• Provides customers with actionable guidance.
• Proactively keeps all parties and Finance Leadership informed.
• Performs other duties as assigned.

Bachelor's degree/equivalent in business, finance or related discipline. A Master's Degree in a related field may offset experience requirements.

Four (4) years direct experience in financial analysis, financial planning, business consulting, project management, accounting, audit or operational analysis.

Experience using financial modeling concepts for cost/benefit and profit/loss analysis.

Experience using advanced personal computer applications such as PowerPoint, Excel, Outlook, Word, Essbase Tools or others as necessary Proficiency in storytelling through written documentation.

Knowledge of advanced personal computer applications such as PowerPoint, Excel, Outlook, Word, Essbase Tools or others as necessary.

Strong analytical, human relations and communication skills.

Understanding of financial modeling concepts for cost/benefit and profit/loss analysis.

Ability to define problems, recognize alternatives, and provide concise recommendations.

Demonstrates flexibility in shifting priorities to meet changing demands.

Proactively anticipates questions and adapts messaging to audience.

Effectively presents to diverse audiences and uses diplomacy in working through issues.

Additional Details: Data Visualization & BI Tools (Power BI preferred), familiarity with data analysis languages such as SQL, Python or R, interest in or exposure to AI & ML applications.