Principal Economist

A Principal Economist conducts advanced economic research and analysis to inform policy decisions and provide strategic guidance to organizations.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Salary Data Points

Glassdoor
Market
National (USA)
Base Salary
$143,273 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Master's Degree

The average salary for Principal Economist is $143,273 / year according to Glassdoor.com

There are no updated reports for Principal Economist salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Principal Economist role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Principal Economist, you will be responsible for conducting economic research and analysis to inform policy decisions and business strategies. You will need strong knowledge of economic theory, statistical analysis, and econometric modeling. Proficiency in statistical software such as Stata or R is essential. Strong analytical and problem-solving skills are also important, as you will be responsible for interpreting economic data and providing insights and recommendations.

The average salary for Principal Economist is $143,273 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Principal Economist has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

A Principal Economist is a highly specialized professional who is responsible for providing economic advice and analysis to organizations and governments. They are experts in economic theory and policy, and are able to provide advice on a wide range of economic issues.

The most important skills for a Principal Economist include strong analytical and problem-solving abilities, excellent communication and interpersonal skills, and the ability to think critically and strategically. They must also have a deep understanding of economic theory and policy, and be able to apply it to real-world situations.

The primary tasks of a Principal Economist include conducting research and analysis on economic issues, developing economic models and forecasts, and providing advice and recommendations to organizations and governments. They must also be able to interpret and analyze data, and present their findings in a clear and concise manner. Additionally, they must be able to collaborate with other economists and stakeholders to develop economic policies and strategies.

Principal Economists must also be able to stay up-to-date on economic trends and developments, and be able to identify potential opportunities and risks. They must also be able to develop and implement economic policies and strategies, and be able to evaluate their effectiveness. Finally, they must be able to communicate their findings and recommendations to stakeholders in a clear and concise manner.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Data Scientist Associate

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Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

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AWS Certified Machine Learning — Specialty Certification

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The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

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Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

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Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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