Graduate Data Analyst

teams. ? Continuous Learning Picking up new domains and techniques quickly as the work demands, changing from client to client. What We’re Looking For ? 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 TPBN1_UKTJ