Financial Analyst

Financial Analyst

PLS Logistics Services

About the Role

PLS Logistics Services is looking for a highly analytical, numbers-driven Financial Analyst to join our team. This is an entry-level opportunity for a recent Finance, Economics, Mathematics, or related graduate who enjoys working with data, analyzing numbers, and solving problems.

In this role, you will work closely with pricing and financial data to help PLS make informed business decisions. A significant portion of the position will involve data analysis, pricing analysis, financial modeling, and working with large amounts of numerical information.

This is a great opportunity for someone early in their career who wants to build a strong foundation in finance while gaining hands-on experience in the logistics and transportation industry.

What You'll Do

• Analyze pricing, revenue, margin, and other financial data to identify trends, opportunities, and areas for improvement.

• Perform detailed quantitative analysis to support pricing and business decisions.

• Review large datasets and translate complex numbers into clear, actionable insights.

• Assist with developing and analyzing pricing models and financial reports.

• Evaluate historical pricing and financial performance to help identify trends and opportunities.

• Build and maintain Excel-based financial models, reports, and analytical tools.

• Research and analyze market, customer, and operational data that impacts pricing and profitability.

• Perform calculations and financial analysis to support business and pricing strategies.

• Identify discrepancies, trends, and anomalies within financial and operational data.

• Partner with internal teams to gather information, validate data, and support analytical projects.

• Present findings and recommendations to management in a clear and concise manner.

• Take on ad hoc financial, pricing, and data-analysis projects as needed.

What We're Looking For

• Bachelor's degree in Finance, Economics, Accounting, Mathematics, Statistics, Business, or a related field.

• Recent college graduate or 0–2 years of professional experience in finance, analytics, pricing, or a related field.

• Strong mathematical and quantitative skills.

• Highly analytical with a natural ability to work with numbers and data.

• Advanced proficiency or strong working knowledge of Microsoft Excel.

• Ability to analyze large amounts of information and identify meaningful trends.

• Strong attention to detail and accuracy.

• Ability to think critically, solve problems, and draw conclusions from data.

• Strong organizational and time-management skills.

• Ability to communicate analytical findings clearly to both financial and non-financial audiences.

• Self-motivated and comfortable working independently in a fast-paced environment.

Preferred / Plus Qualifications

• Internship experience in finance, investment banking, financial analysis, pricing, business analytics, or a related field.

• Experience working with financial models, forecasting, or pricing analysis.

• Experience with Power BI, SQL, Tableau, or other data-analysis tools.

• Participation in a college investment club, finance club, stock trading/investing club, or similar organization.

• Personal interest in financial markets, investing, stocks, or quantitative analysis.

• Experience managing or analyzing an investment portfolio as part of a college organization or investment competition.

What Success Looks Like

The ideal candidate is someone who genuinely likes numbers and enjoys figuring out what the numbers are telling them. You don't need years of experience—we're looking for someone with a strong academic foundation, intellectual curiosity, and the ability to learn quickly.

If you were the person in college who enjoyed finance classes, building Excel models, following the stock market, participating in an investment club, or digging into data just because you wanted to understand it better, this could be a great fit.

Education

Required: Bachelor's degree in finance, Economics, Accounting, Mathematics, Statistics, Business, or related field.

Experience Level

Entry Level | 0–2 Years