A Junior Financial Analyst is an entry-level finance professional responsible for supporting financial planning, analysis, and reporting activities. This role provides critical data-driven insights that help organizations make informed business decisions and maintain financial health.
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What is a Junior Financial Analyst?
A Junior Financial Analyst is an entry-level position in the finance department of an organization. This role serves as the foundation for a career in financial analysis, where individuals learn to collect, analyze, and interpret financial data to support business decisions. Junior Financial Analysts typically work under the supervision of senior analysts or finance managers, gaining hands-on experience with financial modeling, budgeting, and reporting. They are essential for maintaining accurate financial records and providing the analytical support needed for strategic planning. This position is ideal for recent graduates or professionals new to finance who want to develop technical skills and industry knowledge.
What does a Junior Financial Analyst do?
A Junior Financial Analyst performs various tasks to support the finance team's operations. They assist in preparing financial reports, including monthly, quarterly, and annual statements, by gathering data from accounting systems and other sources. They help with budgeting and forecasting processes by analyzing historical trends and inputting data into financial models. Additionally, they conduct variance analysis to compare actual performance against budgets and identify discrepancies. Junior Financial Analysts also support ad-hoc financial projects, such as market research or cost-benefit analyses, and ensure data accuracy through regular reconciliations. They often use software like Excel, ERP systems, and visualization tools to present findings to senior staff.
Job Overview
Entry-level financial analyst position responsible for supporting financial planning, analysis, and reporting functions. The ideal candidate will assist in budgeting, forecasting, and financial modeling while providing data-driven insights to support business decisions. This role offers excellent growth opportunities for recent graduates or early-career professionals seeking to build foundational skills in corporate finance.
1. Assist in monthly financial close process and variance analysis
2. Prepare routine financial reports and dashboards for management review
3. Support annual budgeting and quarterly forecasting processes
4. Conduct basic financial modeling and scenario analysis
5. Analyze expense trends and identify cost-saving opportunities
6. Maintain and update financial databases and spreadsheets
7. Collaborate with accounting team to ensure data accuracy
8. Assist in preparing presentations for senior leadership
1. Bachelor's degree in Finance, Accounting, Economics, or related field
2. 0-2 years of relevant internship or professional experience
3. Proficiency in Microsoft Excel (pivot tables, VLOOKUP, basic formulas)
4. Understanding of financial statements (income statement, balance sheet, cash flow)
5. Strong analytical and problem-solving skills
6. Excellent attention to detail and organizational abilities
7. Basic knowledge of accounting principles (GAAP)
8. Effective written and verbal communication skills
Preferred Qualifications
1. Progress toward or interest in pursuing CFA or CPA certification
2. Experience with financial modeling or data analysis projects
3. Familiarity with ERP systems (Oracle, SAP, or similar)
4. Previous internship in corporate finance or investment analysis
5. Knowledge of financial forecasting techniques
6. Experience with data visualization tools (Tableau, Power BI)
7. Understanding of corporate finance concepts
8. GPA of 3.0 or higher in relevant coursework
Bonus Skills
1. Advanced Excel skills (macros, advanced formulas, data modeling)
2. Programming experience (Python, R, or SQL for financial analysis)
3. Experience with financial software (Bloomberg, FactSet, or similar)
4. Knowledge of statistical analysis and regression modeling
5. Familiarity with Power Query or other data transformation tools
6. Multilingual capabilities for global company support
7. Experience with process automation or efficiency improvements
8. Understanding of industry-specific financial metrics and KPIs
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