Data Analyst I

Tulane University•New Orleans, LA

About The Position

The Data Analyst I is an entry-level research support position. Under the direction of senior staff and the principal investigator, the employee carries out tasks assigned by senior research staff, 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 completes tables and figures for publications and presentations using examples drafted by researchers, summarizing study findings according to protocol.

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.
  • Good interpersonal skills and ability to work well with others.
  • Excellent oral and written communication skills.
  • Excellent data research and analytical skills, with 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.

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 data analysis.
  • Complete tables and figures for publications and presentations using researcher-provided examples and according to protocol.
  • Work efficiently with large data sets and meet established deadlines.
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