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Economic Data Analyst Jobs (NOW HIRING)

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

Economic Data Assistant

New York, NY ยท 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 ...

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 ...

Data Analyst, Principal

Atlanta, GA ยท On-site +1

$69K - $93K/yr

In this role, the Principal Data Analyst will lead the application and enhancement of ARC's REMI (Regional Economic Models, Inc.) modeling platform, develop regional socioeconomic forecasts, conduct ...

Economic Research Data Analyst

Albany, NY ยท On-site

$90K - $95K/yr

Economic Research Data Analyst Professional Albany, NY, US Salary Range: $90,000.00 To $95,000.00 Annually *Applicants MUST submit a cover letter with resume to be considered. *This position will ...

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$73.3K

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How much do economic data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for economic data analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What does an economic data analyst do?

An Economic Data Analyst collects, processes, and interprets economic data to help organizations make informed decisions. They analyze trends, create reports, and use statistical tools to assess economic conditions. Their work supports policymakers, businesses, and researchers in understanding market dynamics and financial risks. Proficiency in data analysis software, economics, and statistical methods is essential for this role.

What are some typical projects or daily responsibilities for an economic data analyst?

As an Economic Data Analyst, your typical day might involve gathering and cleaning economic data, conducting statistical analyses, creating visual reports, and presenting your findings to stakeholders. You'll often work with large datasets, identify trends or anomalies, and help interpret how economic conditions impact the business. Collaboration with economists, policy experts, or business managers is common, especially when developing forecasts or providing input for strategic decisions. This variety of tasks provides valuable experience and opportunities for skill development while contributing meaningful insights to your organization.

What are the key skills and qualifications needed to thrive as an economic data analyst, and why are they important?

To thrive as an Economic Data Analyst, you need strong analytical abilities, a background in economics or statistics, and proficiency with quantitative research methods. Familiarity with data analysis software such as Excel, R, SAS, Python, and visualization tools like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication skills help analysts interpret findings and explain insights to non-technical audiences. These skills and qualities ensure accurate data interpretation, valuable business recommendations, and successful collaboration across teams.

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Infographic showing various 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 $73,261 per year, or $35.2 per hour.

Indicators Economic Data Analyst

Palo Alto, CA โ€ข On-site

Other

Posted 5 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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