Financial Analyst

Job Description

Job Description

We are looking for a Financial Analyst to support data-driven decision-making through insightful reporting, forecasting, and business analysis. This role is based in Little Rock, Arkansas, and will focus on evaluating financial performance, identifying trends, and delivering clear recommendations to stakeholders. The ideal candidate brings strong modeling skills, attention to detail, and the ability to turn complex data into practical business guidance.

The salary range is $70,000 – $100,000 (DOE)!

This company also offers an opportunity for long-term career GROWTH, incredible benefits including strong PTO plan, fantastic health insurance benefits, and a 401k match!

Please reach out to Austen Zemrock on LinkedIn for a direct confidential conversation or email me a Word version of your resume for more information.

Responsibilities:

• Develop financial models and scenario analyses to support budgeting, forecasting, and strategic planning efforts.

• Examine operating results and key metrics to explain variances between actual performance and financial expectations.

• Perform targeted analyses in response to business questions, providing timely insights for leadership and cross-functional teams.

• Gather, organize, and interpret large data sets to uncover trends, risks, and opportunities that impact financial outcomes.

• Prepare recurring and ad hoc reports that summarize findings and communicate recommendations in a clear, business-focused manner.

• Partner with internal stakeholders to improve financial visibility and support informed operational and investment decisions.

• At least 1 year of experience in financial analysis or a closely related finance role.

• Demonstrated ability to build and maintain financial models for planning, forecasting, and performance evaluation.

• Strong understanding of variance analysis and the drivers behind financial results.

• Experience conducting ad hoc analysis to address changing business needs and support decision-making.

• Proficiency in data mining and working with large or complex data sets to generate actionable insights.

• Excellent analytical, problem-solving, and communication skills with strong attention to accuracy and detail