Permax Recruitment
Graduate Data Analyst
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The Opportunity
Our client is looking for a Data Analyst who thinks like a researcher: someone who can structure messy problems, build analyses that hold up, and explain them to people who don't speak in code. We care more about how you think than about a specific pedigree, and we especially value people who apply ideas from one field to solve problems in another.
What You'll Be Doing
- Problem Framing: tackling complex problems with little description or supporting information and shaping them into clear research questions, then finding your own route to a solution.
- Data Analysis: Working with raw data to identify patterns, build models, and produce analysis that holds up to scrutiny.
- Cross-Field Application: Bringing methods from one discipline to bear on problems in another, using unexpected tools to solve them.
- Coding & Tooling: Building and running analysis primarily in Python and SQL.
- Client Communication: Explaining technical work and findings clearly to non-technical members of clients' teams.
- Continuous Learning: Picking up new domains and techniques quickly as the work demands, changing from client to client.
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What We're Looking For
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- 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
- Excellent knowledge of Cryptocurrency, Blockchain, and Web 3.0
- 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
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