Scientific Research Analyst II

Tulane University - New Orleans, LA

Full-time - Mid Level

New Orleans, LA

Educational Services

About the position

The Scientific Research Analyst II position at Tulane University is a pivotal role within the Department of Economics, specifically supporting the Education Research Alliance for New Orleans and the National Center for Research on Education Access and Choice (REACH). This role is designed for a senior-level analyst who will engage in comprehensive research focused on market-based school reform, including the examination of charter schools, vouchers, and related educational policies. The analyst will play a crucial role in managing extensive panel data sets, which are essential for conducting robust quantitative research projects. These projects will not only cover educational topics but may also extend to non-educational areas, providing a broad scope for research and analysis. In this position, the analyst will be responsible for assisting in the design and implementation of research methodologies, ensuring the integrity and accuracy of data collection and analysis. The role requires a strong analytical mindset and the ability to interpret complex data sets to derive meaningful insights that can inform policy decisions and educational practices. Additionally, the organization emphasizes professional development, offering support for attending conferences and other educational opportunities to enhance the analyst's skills and knowledge in the field.

Responsibilities

• Assist with the management of large panel data sets.
• Conduct original quantitative research projects related to education and non-education topics.
• Support the work of the Education Research Alliance for New Orleans and REACH.
• Analyze data to derive insights on market-based school reform, including charter schools and vouchers.
• Collaborate with team members to design research methodologies and ensure data integrity.

Requirements

• Strong background in quantitative research methods.
• Experience with data management and analysis, particularly with large data sets.
• Proficiency in statistical software and data analysis tools.
• Ability to interpret complex data and communicate findings effectively.
• Experience in educational research or related fields is preferred.

Nice-to-haves

• Familiarity with market-based school reform policies.
• Experience in working with educational data sets.
• Knowledge of statistical programming languages such as R or Python.

Benefits

• Funding for professional development and attending conferences.