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Entry Level Economic Forecasting Analyst Jobs in Raleigh, NC

DataAnnotation

Economic Analyst - AI Trainer

Raleigh, NC · On-site +1

$40/hr

... like forecasting, experimental analysis, optimization, and statistical inference. Write clear ... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Cumming Group

Project Controls Manager

Raleigh, NC

$97.40K - $129.87K/yr

... economic forecasting, milestone reports, pre- and post-contract auditing, change order review and reconciliation, BIM 5D cost modeling, LEED cost analysis, life cycle costing, and more. We encourage ...

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DataAnnotation

Economist - AI Trainer

Raleigh, NC · On-site +1

$40/hr

... like forecasting, experimental analysis, optimization, and statistical inference. Write clear ... economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Ra

Marketing Analytics Consultant

Raleigh, NC

... Demand Forecasting. You will be leading a project team and you will be responsible for team ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

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Entry Level Economic Forecasting Analyst information

See Raleigh, NC salary details

$30.1K

$71.2K

$126.4K

How much do entry level economic forecasting analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level economic forecasting analyst in Raleigh, NC is $71,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,600.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Economic Forecasting Analyst vs Entry Level Data Analyst?

AspectEntry Level Economic Forecasting AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Finance, or related field; some roles may prefer internshipsBachelor's in Statistics, Mathematics, or related field; certifications like Excel or SQL helpful
Work EnvironmentFinancial institutions, government agencies, consulting firmsTech companies, marketing firms, healthcare organizations
Industry UsageUsed for economic trend analysis, forecasting, policy advisingUsed for data collection, analysis, reporting to support business decisions

The main difference is that Entry Level Economic Forecasting Analysts focus on analyzing economic data to predict future trends, often working with macroeconomic indicators. In contrast, Entry Level Data Analysts handle a broader range of data types across various industries, focusing on interpreting data to inform operational decisions. Both roles require strong analytical skills and proficiency with data tools, but their focus and application differ significantly.

What are popular job titles related to Entry Level Economic Forecasting Analyst jobs in Raleigh, NC? For Entry Level Economic Forecasting Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
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What cities near Raleigh, NC are hiring for Entry Level Economic Forecasting Analyst jobs? Cities near Raleigh, NC with the most Entry Level Economic Forecasting Analyst job openings:
Entry Level Economic Forecasting Analyst jobs near you
Economic Analyst - AI Trainer

Economic Analyst - AI Trainer

DataAnnotation

Raleigh, NC • 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

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