Energy Data Associate—Econometrics, Dashboards & Analytics

Louisiana State University; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

Louisiana State University’s Center for Energy Studies seeks a Research Associate to support data-driven energy research and analysis. The role focuses on managing energy databases from national/state sources, conducting econometric analyses, and building interactive data visualizations and web applications for Act 727 data dissemination.

The position involves collaboration with faculty and external partners, handling data quality, and ensuring security and accessibility of energy datasets.

Qualifications

• Master’s degree in a related field or a bachelor’s degree in a related field with two years of related experience.
• Proficiency with Stata, SQL, Python, R, or SAS.
• Experience with energy datasets and data visualization is preferred.

Responsibilities

• Design, develop, and maintain energy databases integrating data from Louisiana SONRIS, EIA, and other sources.
• Perform econometric analyses of energy markets and forecast models.
• Develop interactive web-based data applications and dashboards.
• Collaborate on Gulf Coast Energy Outlook, white papers, and policy studies.
• Maintain technical systems using Stata and R.
• Coordinate with Louisiana state energy agencies on data initiatives.

Skills

Stata

R

SQL

Python

SAS

Data visualization

Web application development

Econometrics

Energy economics

Education

Master’s degree in related field

Bachelor’s degree in related field with 2 years experience

Tools

Tableau

Power BI

Job description

Louisiana State University’s Center for Energy Studies seeks a Research Associate to support data-driven energy research and analysis. The role focuses on managing energy databases from national/state sources, conducting econometric analyses, and building interactive data visualizations and web applications for Act 727 data dissemination.

The position involves collaboration with faculty and external partners, handling data quality, and ensuring security and accessibility of energy datasets.