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Economic Analyst Jobs (NOW HIRING)

... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end.

... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. * Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

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Economic Analyst information

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$31K

$73.3K

$130K

How much do economic analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for economic 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 are the key skills and qualifications needed to thrive as an Economic Analyst, and why are they important?

To thrive as an Economic Analyst, you need strong analytical skills, a solid grasp of economic theory, and a degree in economics or a related field. Proficiency with statistical software such as Stata, R, or Excel, and experience with data visualization tools, are typically required. Effective communication, attention to detail, and problem-solving abilities help you interpret data and present insights clearly to stakeholders. These skills are essential for providing reliable economic forecasts and supporting sound decision-making in organizations.

What are some common challenges Economic Analysts face when interpreting complex data sets?

Economic Analysts often work with large, diverse data sets that can be incomplete, inconsistent, or noisy. One of the main challenges is ensuring data accuracy and reliability while integrating information from multiple sources. Analysts must also be able to translate complex quantitative findings into clear, actionable insights for stakeholders who may not have a technical background. Overcoming these challenges requires strong analytical skills, attention to detail, and effective communication within interdisciplinary teams.

What does an Economic Analyst do?

An Economic Analyst studies economic data and trends to help organizations make informed decisions. They collect, interpret, and analyze data related to economic issues, such as inflation, employment, and market trends. Their findings support decision-making in both public and private sectors, often through reports, forecasts, and presentations. Economic Analysts may specialize in areas like financial markets, policy analysis, or international economics.

What Does an Economic Analyst Do?

As an economic analyst, your job is to research trends in economic data and provide reports about or forecasts for the economy. Many economic analysts work for the government, but some also work for private businesses like investment companies who want to determine the best time to invest their funds in a project. Fulfilling the duties and responsibilities of an economic analyst often requires both math and programming skills, as well as the ability to either collect or access large amounts of financial data. Many economic analysts specialize in specific parts of the economy, such as individual industries, so where you decide to start your career could impact your future options.

What is the difference between Economic Analyst vs Financial Analyst?

AspectEconomic AnalystFinancial Analyst
Required CredentialsBachelor's in Economics, Finance, or related field; often some certificationsBachelor's in Finance, Economics, or related; certifications like CFA are common
Work EnvironmentResearch-focused, policy analysis, government or consulting firmsCorporate finance departments, investment firms, banks
Employer & Industry UsageGovernment agencies, think tanks, consulting firmsFinancial services, investment firms, corporations
Common Search & ComparisonYesYes

Both roles involve analyzing financial data, but Economic Analysts focus on macroeconomic trends, policy impacts, and economic modeling, often working in government or research settings. Financial Analysts primarily evaluate investment opportunities, company financials, and market data within corporate or financial institutions. While their skills overlap, their focus areas and work environments differ significantly.

What cities are hiring for Economic Analyst jobs? Cities with the most Economic Analyst job openings:
What are the most commonly searched types of Economic Analyst jobs? The most popular types of Economic Analyst jobs are:
What states have the most Economic Analyst jobs? States with the most job openings for Economic Analyst jobs include:
What job categories do people searching Economic Analyst jobs look for? The top searched job categories for Economic Analyst jobs are:
Infographic showing various Economic Analyst job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Economic Analyst - AI Trainer

Economic Analyst - AI Trainer

DataAnnotation

Indiana, PA • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr