Financial Analyst

Swensons Drive-In Restaurants; Akron (OH); In loco; USD 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Swensons Drive-In Restaurants in Akron, OH is seeking a motivated Financial Analyst to support planning, reporting, and decision-making across restaurant operations and the Support Center.

You will turn financial and operational data into insights, investigate performance trends, and help identify opportunities to improve profitability and efficiency, including using Claude to enhance analysis while protecting confidential information.

Competenze

• Bachelor’s degree in business, finance, accounting or FP&A.
• At least two years of relevant experience in financial analysis or FP&A.
• Experience using Claude or AI tools in professional analytics.
• Strong analytical, inquisitive mindset; asks questions and investigates drivers.
• Excel proficiency with pivot tables, lookups, and financial modeling.
• Understanding of financial statements, budgeting, forecasting, and variance analysis.
• Attention to detail and well-documented work.
• Ability to communicate findings to financial and non-financial audiences.
• Ability to manage competing priorities, meet deadlines, work independently and collaborate.
• Discretion with confidential information.

Mansioni

• Prepare recurring financial reports, dashboards, and analyses.
• Analyze actual results vs budgets/forecasts; explain drivers.
• Support annual budgeting, forecasting, and long-range planning.
• Evaluate costs and margins to identify trends and opportunities.
• Build financial models and scenario analyses.
• Partner with departments to validate data and provide recommendations.
• Use AI tools to support analysis and workflow; validate outputs.
• Improve reporting processes through automation and templates.
• Prepare presentations translating analysis into actionable recommendations.
• Support monthly close and special projects.

Conoscenze

Analytical mindset

Problem solving

Communication skills

Attention to detail

Time management

Independent work

Cross-functional collaboration

Formazione

Bachelor’s degree in Business/Finance/Accounting/FP&A

Strumenti

Excel

Power BI

Tableau

Power Query

SQL

Descrizione del lavoro

Description

We are looking for a motivated and detail-oriented Financial Analyst to join our finance team. In this role, you will be instrumental in supporting financial planning, reporting, and business decision-making across Swensons restaurant operations and the Support Center. This role turns financial and operational data into clear insights, investigates performance trends, and helps identify opportunities to improve profitability and efficiency. The ideal candidate is analytical, inquisitive, and comfortable using AI tools such as Claude to improve analysis and reporting.

Requirements

Essential Duties and Responsibilities

• Prepare recurring financial reports, dashboards, and analyses that provide timely, accurate visibility into company, market, and stand performance.
• Analyze actual results against budgets, forecasts, and prior periods; investigate variances and explain the underlying business drivers.
• Support annual budgeting, forecasting, and long-range planning by gathering inputs, maintaining financial models, and documenting assumptions.
• Evaluate sales, labor, food and packaging costs, operating expenses, and margins to identify trends and opportunities for improvement.
• Build financial models and scenario analyses to evaluate business initiatives, capital investments, and operational changes.
• Partner with Finance, Accounting, Operations, and other departments to understand results, validate data, and develop practical recommendations.
• Use AI tools, including Claude, to support data analysis, research, report development, and workflow improvement; independently validate outputs and protect confidential information.
• Improve reporting processes through automation, standardized templates, and more effective use of existing systems.
• Prepare clear presentations and summaries that translate detailed analysis into actionable recommendations for leadership.
• Support monthly financial review and close-related analysis, reconcile reporting data to source records, and complete special projects as assigned.

Required Qualifications

• Bachelor’s degree in Business, Finance, Accounting, Financial Planning and Analysis (FP&A), or a closely related field.
• At least two years of relevant experience in financial analysis, FP&A, accounting, or a similar role.
• Hands‑on experience using AI tools such as Claude in a professional or analytical setting, with the ability to develop effective prompts, critically evaluate results, and incorporate verified outputs into work.
• Strong analytical and problem‑solving skills, with an inquisitive mindset and a willingness to ask questions, challenge assumptions, and investigate the reasons behind results.
• Proficiency in Microsoft Excel, including pivot tables, lookup functions, and financial modeling; ability to work with large datasets.
• Understanding of financial statements, budgeting, forecasting, and variance analysis.
• Strong attention to detail and the ability to maintain accurate, organized, and well‑documented work.
• Ability to communicate financial findings clearly to both financial and nonfinancial audiences.
• Ability to manage competing priorities, meet deadlines, work independently, and collaborate across departments.
• Sound judgment and discretion when handling confidential financial and business information.

Preferred Qualifications

• Experience in restaurants, hospitality, retail, or another business with multiple locations.
• Experience with business intelligence tools such as Power BI or Tableau.
• Familiarity with accounting systems, point‑of‑sale data, and operational reporting platforms.
• Experience with Power Query, SQL, or other tools used to organize data and automate reporting.

Work Environment

Work involves regular computer use, financial analysis, and collaboration with Support Center and Operations teams. Periodic visits to restaurant locations may be needed to better understand operational performance.