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Entry Level Mathematical Economics Jobs (NOW HIRING)

Central Transport

SR Analyst

Stephens, AR · On-site

$1.0K/wk

Identify system issues Qualifications: Entry level position with the opportunity for growth! * Associate or Bachelor's degree in a Finance, Mathematics, Economics, or Business related field is ...

EAI Technologies

Entry Level Software Developer

Vienna, VA · On-site

$70K - $85K/yr

Computer Science, Math, or Engineering fundamentals. * Proficiency or ability to quickly learn ... We have carried our folks through multiple tough economic cycles (2002, 2009/10, current pandemic ...

FTI Consulting

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Major(s): Economics, Statistics, Business Analytics, Mathematics, Healthcare, Electrical ...

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Entry Level Mathematical Economics information

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How much do entry level mathematical economics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level mathematical economics in the United States is $82,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an entry level mathematical economics job?

Entry level mathematical economics jobs are positions for individuals who have recently completed a degree in economics, mathematics, or a related field. These roles typically involve using mathematical models and statistical techniques to analyze economic data, forecast trends, and assist in decision-making for businesses, government agencies, or research institutions. Common job titles include research analyst, economic consultant, data analyst, and junior economist. These positions often require strong quantitative skills, proficiency in software such as Excel or statistical programming languages, and the ability to interpret complex data sets. Entry level roles provide valuable experience and serve as a foundation for more advanced positions in economics or finance.

What are the key skills and qualifications needed to thrive as an entry level mathematical economist?

To thrive as an Entry Level Mathematical Economist, you typically need a strong background in economics, mathematics, and statistics, usually supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as Excel, R, Python, and econometric software like STATA or SAS is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and convey complex findings clearly. These competencies are essential for producing accurate economic models, supporting policy or business decisions, and contributing to team-based research projects.

What types of projects or tasks can an entry level mathematical economics professional expect to work on during the first year?

As an entry-level mathematical economics professional, you will typically assist with data analysis, model building, and economic forecasting tasks. Your responsibilities may include collecting and cleaning economic data, running statistical analyses, and helping to develop mathematical models to evaluate business strategies or policy impacts. You’ll often work closely with more senior economists, data scientists, and finance professionals, gaining exposure to a variety of real-world applications in sectors like finance, consulting, or government. This collaborative environment offers valuable learning opportunities and helps you build a strong foundation for career growth.

What is the difference between Entry Level Mathematical Economics vs Data Analyst?

AspectEntry Level Mathematical EconomicsData Analyst
Required CredentialsBachelor's in Economics, Mathematics, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch institutions, economic consulting firms, government agenciesCorporate, finance, healthcare, or tech companies
Employer & Industry UsageEconomics research, policy analysis, academiaData-driven decision making, reporting, business insights
Common Search & Comparison IntentUnderstanding entry-level roles in economic modelingEntry-level data analysis roles in various industries

Entry Level Mathematical Economics focuses on applying mathematical and economic theories to analyze economic issues, often in research or policy settings. In contrast, Data Analysts interpret data to provide actionable insights across industries. While both roles require quantitative skills and similar educational backgrounds, their work environments and primary objectives differ, catering to distinct career paths.

Is entry level mathematical economics a good degree?

Entry level mathematical economics is a solid degree for those interested in careers in finance, data analysis, or economic research, as it combines economic theory with quantitative skills like calculus and statistics. Graduates often find opportunities in banking, consulting, government agencies, and research institutions. Developing proficiency in programming tools such as R or Python can enhance job prospects in this field.
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Entry Level Mathematical Economics jobs near you
Infographic showing various Entry Level Mathematical Economics job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $82,064 per year, or $39.5 per hour.

Business Analyst-Entry Level

Apex Informatics

San Francisco, CA • On-site

Other

Re-posted 23 days ago

Job description

Responsibilities:
  • Check reporting results and flag potential issues: Review reports for accuracy and identify any anomalies or discrepancies.
  • Create dashboards, spreadsheet analysis, and presentations: Support regional analysts by preparing visual data representations and reports.
  • Troubleshoot data issues: Validate data from various sources to ensure consistency and reliability.
  • Analyze business performance trends: Identify patterns and trends in business data to uncover growth opportunities.

Minimum Qualifications:
  • Education: BA/BS degree in accounting, finance, economics, industrial engineering, statistics, or math.
  • Experience: At least 1 year of work experience in tech, finance, or accounting.
  • Technical Skills:
    • Strong knowledge of SQL: Ability to write and execute SQL queries for data analysis.
    • Fluency in MS Excel: Proficiency in Excel for data manipulation, analysis, and reporting.
    • Experience with statistical programming: Familiarity with R, Python, or similar languages for data analysis and visualization.

Apply