Graduate Data Analyst

?A STEM background (physics, mathematics, engineering, biology, or chemistry)

?Experience in applying ideas from scientific fields to tackle problems in other areas, bringing creative insights to the problem-solving process.

?Research-based experience such as lab internships, research fellowships, publications, or time at research institutions leading research and experimentation.

?Strong analytical and problem-solving abilities, including solving problems without explicit instructions

?Python (essential); SQL desirable but not critical

?Basic knowledge of data engineering and infrastructure concepts, such as AWS.

?A solid grasp of core programming concepts; exposure to lower-level languages such as C++, C, or Fortran is a plus

?Excellent numerical and written communication skills, and confidence presenting to non-technical audiences