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Trainee Economic Data Analyst Jobs (NOW HIRING)

Council for Community and Economic Research

Analyze economic data to identify trends and opportunities relevant to policymakers, business ... leaders, and clients. * Write research reports, including data tables and visualizations, that ...

Haver Analytics

Economic Data Assistant

New York, NY · On-site

$18.25 - $24.25/hr

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with an economics/finance/data science background to join our ...

Gov Services Hub

: Data Analyst

Richmond, VA · On-site

Data Analyst Location: Richmond, VA- Hybrid Duration: 12 Months Contract Experience required : 5+ ... Researches and analyses housing, economic and demographic conditions, and trends, as well as state ...

StateJobsNY

Data Analyst 1/Trainee 1/Trainee 2

Albany, NY · On-site

$53K - $85K/yr

Data Analyst Trainee 1: Bachelor's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field. Data Analyst Trainee 2: Bachelor's degree in data or ...

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Trainee Economic Data Analyst information

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$22.5K

$88.7K

$144K

How much do trainee economic data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for trainee economic data analyst in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Economic Data Analyst vs Junior Economic Analyst?

AspectTrainee Economic Data AnalystJunior Economic Analyst
Required CredentialsBachelor's degree in Economics, Data Analysis, or related field; some internshipsBachelor's degree; some roles prefer internship or entry-level experience
Work EnvironmentTraining programs, supervised tasks, entry-level projectsIndependent analysis, report preparation, data interpretation
Employer & Industry UsageInternship or entry-level roles in finance, government, research firmsFull-time roles in economic consulting, finance, government agencies

The main difference is that a Trainee Economic Data Analyst is typically in a training or internship phase, focusing on learning and assisting with basic data tasks. A Junior Economic Analyst has more experience, performing independent analysis and contributing to reports. Both roles require similar educational backgrounds, but the Junior role involves greater responsibility and skill application.

More about Trainee Economic Data Analyst jobs

What cities are hiring for Trainee Economic Data Analyst jobs?

Cities with the most Trainee Economic Data Analyst job openings:

What are the most commonly searched types of Economic Data Analyst jobs?

The most popular types of Economic Data Analyst jobs are:

What states have the most Trainee Economic Data Analyst jobs?

States with the most job openings for Trainee Economic Data Analyst jobs include:

Trainee Economic Data Analyst jobs near you
Infographic showing various Trainee Economic Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $88,664 per year, or $42.6 per hour.

Indicators Economic Data Analyst

Palo Alto, CA • On-site

Stanfordlivetickets
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Posted 6 days ago

Job description

Business Title: Indicators Economic Data AnalystExemption: ExemptWORK SCHEDULE:
  • Work Schedule: Hybrid work arrangement with at least 2 days per week on-site.
BUDGETED SALARY:

$91,644-$123,000

SCHOOL/UNIT DESCRIPTION:

The Stanford Digital Economy Lab conducts groundbreaking research on the impact of the digital economy. We bring together an interdisciplinary group of researchers to study how digital technologies are transforming work, organizations, and the economy. Our insights help companies, policymakers, students, and professionals respond to the opportunities and challenges created by digitization. The Lab is part of the Stanford Institute for Human-Centered Artificial Intelligence and is co-sponsored by the Stanford Institute for Economic Policy Research.

POSITION SUMMARY:

The Stanford Digital Economy Lab is seeking an Economic Data Analyst to perform complex technical and analytical work supporting Indicators, the Lab's public-facing platform for measuring the economic impact of artificial intelligence. Reporting to the Research Manager for Indicators, this position will query and integrate structured economic and labor-market data, independently produce standard and custom reports, devise methods for identifying patterns and trends, build non-routine analytical databases, and create publication-ready metrics and visualizations with minimal supervision.

The Economic Data Analyst will clean, validate, integrate, and document data from sources including ADP, the U.S. Census Bureau, job-posting providers, government agencies, surveys, and public repositories. The analyst will create analysis-ready relational tables, longitudinal datasets, derived indicators, data dictionaries, quality-control summaries, reports, charts, dashboards, and approved data extracts. The position will also develop and evaluate algorithms and statistical models related to AI adoption and exposure, employment, wages, occupations, industries, and skills demand; recommend improvements to data collection and reporting; respond to non-routine analytical and survey requests; implement data standards and common metric definitions; and test prototype pipelines, APIs, calculations, database changes, and visualizations for release readiness.

The successful candidate will work closely with economists, faculty, research scientists, postdoctoral scholars, graduate research assistants, data providers, engineers, designers, communications teams, and other Stanford partners. The role requires strong technical judgment, careful documentation, and the ability to translate complex findings into trustworthy information for academic, policy, industry, media, and public audiences.

This fixed-term position (3 years, renewable)

PREFERRED/DESIRED QUALIFICATIONS:
  • Bachelor's degree and three years of relevant experience, or a combination of education and relevant experience, in a quantitative discipline such as economics, finance, statistics, computer science, data science, or engineering.
  • Strong SQL and Python skills; experience with R, cloud environments such as Google Cloud, Git-based version control, APIs, and visualization or business-intelligence tools is preferred.
  • Experience working with large economic or labor-market datasets, including restricted, licensed, or confidential data.
  • Knowledge of econometrics, data analysis, data visualization, reproducible research, and artificial intelligence measurement.
  • Excellent analytical, organizational, written, and oral communication skills; ability to complete detailed work accurately under deadlines with minimal supervision.
  • Creative, independent problem-solving skills and the ability to collaborate with researchers and technical partners from diverse backgrounds.
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