Financial Analyst

Job Description

Financial Analyst | Robert Half

The Tone:
This is a full-time permanent role at Robert Half, located in Little Rock, Arkansas. Robert Half is the world’s first and largest specialized talent solutions firm, connecting highly qualified job seekers to opportunities at great companies. This role is crucial for supporting data-driven decision-making through insightful reporting, forecasting, and business analysis, ensuring clear recommendations reach stakeholders.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: In-person, Little Rock, AR
• Pay: $70000–$100000 yearly
• Mission: This person will evaluate financial performance, identify trends, and deliver clear recommendations to support informed operational and investment decisions.

What You’ll Actually Do
• Modeling: Develop financial models and scenario analyses to support budgeting, forecasting, and strategic planning efforts.
• Performance Analysis: Examine operating results and key metrics to explain variances between actual performance and financial expectations.
• Business Insights: Perform targeted analyses in response to business questions, providing timely insights for leadership and cross-functional teams.
• Data Interpretation: Gather, organize, and interpret large data sets to uncover trends, risks, and opportunities that impact financial outcomes.
• Reporting & Communication: Prepare recurring and ad hoc reports that summarize findings and communicate recommendations in a clear, business-focused manner.

The Must-Haves
• Background: Others. A strong understanding of variance analysis and the drivers behind financial results, along with the ability to turn complex data into practical business guidance.
• Experience: 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. Experience conducting ad hoc analysis to address changing business needs and support decision-making.
• Skills: 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.