Data Analyst I

The Data Analyst I is an entry-level research support position responsible for carrying out tasks as assigned by senior research staff and analyzing experiment outcomes using advanced statistical methods and bioinformatic tools. Under the direction of senior staff and the principal investigator, the employee will provide data management support and conduct analyses using software such as Python and R. The employee will complete tables and figures for publications and presentations from provided examples that have been drafted by researchers to summarize study findings according to protocol.

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.

REQUIRED EDUCATION AND EXPERIENCE:

• Bachelor's Degree or Master's Degree in data analysis or related fields, and prior experience working with Python and R, or other similar software applications

PREFERRED QUALIFICATIONS:

• Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Information Management, or a closely related field, and one year of data analysis experience using STATA or other statistical software.
• Familiarity with drafting tables and/or figures for publication of research findings.
• Proficient in the use of Python, R, or other similar software applications.
• Good interpersonal skills; 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; great attention to detail.
• Excellent organizational skills; ability to multitask, effectively prioritize work assignments,
• and efficiently meet established deadlines.
• Ability to work effectively with minimal supervision.

REQUIRED BACKGROUND CHECK, PHYSICAL AND DRUG SCREENING FOR INCUMBENTS WHO HAVE CONTACT OR EXPOSURE TO ANIMALS OR ANIMAL TISSUES:

Selected candidates must complete and pass a background check and an occupational health screening as a condition of employment. For identified jobs, a drug screening will also be required. The background investigation, required occupational health screening, and any required drug screening will be conducted after a conditional employment offer has been extended.

• Proficient in the use of Python, R, or other similar software applications.
• Good interpersonal skills; 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; great attention to detail.
• Excellent organizational skills; ability to multitask, effectively prioritize work assignments,
• and efficiently meet established deadlines.
• Ability to work effectively with minimal supervision.

REQUIRED BACKGROUND CHECK, PHYSICAL AND DRUG SCREENING FOR INCUMBENTS WHO HAVE CONTACT OR EXPOSURE TO ANIMALS OR ANIMAL TISSUES:

Selected candidates must complete and pass a background check and an occupational health screening as a condition of employment. For identified jobs, a drug screening will also be required. The background investigation, required occupational health screening, and any required drug screening will be conducted after a conditional employment offer has been extended.