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Entry Level Economic Informatics Jobs (NOW HIRING)

Entry Level Economic Informatics information

See salary details

$42.5K

$85.6K

$125K

How much do entry level economic informatics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level economic informatics in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Economic Informatics jobs? The most popular types of Economic Informatics jobs are:
Infographic showing various Entry Level Economic Informatics job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.
Business Analyst-Entry Level

Business Analyst-Entry Level

Apex Informatics

San Francisco, CA • On-site

Other

Re-posted 22 hours 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.