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Director Economic Forecasting Analyst Jobs (NOW HIRING)

Economist

El Paso, TX · On-site

$81.03K - $137.59K/yr

... economic analysis or econometric forecasting; including two (2) years of direct supervisory experience in a management and/or administrative capacity or a Bachelor's Degree or higher in Economics ...

Economist

El Paso, TX

$81.03K - $137.59K/yr

... economic analysis or econometric forecasting; including two (2) years of direct supervisory experience in a management and/or administrative capacity or a Bachelor's Degree or higher in Economics ...

... analysts, department leaders, and executives. Continually explore new economic inputs and refine existing variables and coefficients to enhance the precision and accuracy of existing forecasting ...

Econometric Forecasting Lead OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of ... for analysts, department leaders, and executives. * Continually explore new economic inputs and ...

Company Description LinkedIn is the world's largest professional network, built to create economic ... The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning ...

Company Description LinkedIn is the world's largest professional network, built to create economic ... The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning ...

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Director Economic Forecasting Analyst information

See salary details

$31K

$73.3K

$130K

How much do director economic forecasting analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for director economic forecasting 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 most commonly searched types of Economic Forecasting Analyst jobs? The most popular types of Economic Forecasting Analyst jobs are:
Forecasting Analyst - AI Trainer

Forecasting Analyst - AI Trainer

DataAnnotation

Columbia, SC • On-site, Remote

$60/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, up to $60 USD/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). 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. #J-18808-Ljbffr