Data Analyst I

Tulane University • New Orleans, LA

1d

About The Position

The Data Analyst I is an entry-level research support position. Under the direction of senior research staff and the principal investigator, the employee carries out assigned tasks, provides data management support, and analyzes experiment outcomes using advanced statistical methods and bioinformatic tools, including software such as Python and R. The employee also prepares tables and figures for publications and presentations using researcher-drafted examples to summarize study findings according to protocol.

Selected candidates whose jobs involve contact with or exposure to animals or animal tissues must pass a background check and occupational health screening as a condition of employment. Drug screening is also required for identified jobs. These checks and screenings take place after a conditional offer of employment.

Requirements

• Bachelor’s or master’s degree in data analysis or a related field.
• Prior experience working with Python and R, or similar software applications.
• Proficiency in Python, R, or similar software applications.
• Good interpersonal skills and ability to work well with others.
• Ability to work efficiently with large data sets.
• Excellent oral and written communication skills.
• Excellent data research and analytical skills, with close attention to detail.
• Excellent organizational skills; ability to multitask, prioritize assignments, and meet deadlines efficiently.
• Ability to work effectively with minimal supervision.

Nice To Haves

• Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, Information Management, or a closely related field.
• One year of data analysis experience using STATA or other statistical software.
• Familiarity with drafting tables and/or figures for publication of research findings.

Responsibilities

• Carry out research support tasks assigned by senior research staff.
• Provide data management support under the direction of senior staff and the principal investigator.
• Analyze experiment outcomes using advanced statistical methods and bioinformatic tools.
• Use Python, R, or similar software applications for analysis.
• Complete tables and figures for publications and presentations from examples drafted by researchers, summarizing study findings according to protocol.
• Work effectively with large data sets and apply strong research, analytical, organizational, and communication skills.
• Prioritize and multitask across work assignments, meet established deadlines, and work effectively with minimal supervision.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level