Data Analyst

You Will:

  • Process and clean health datasets in a variety of formats, and of various sizes.
  • Analyze health datasets, clearly reporting findings to the data science team. 
  • Develop tools and working processes to facilitate analysis. 
  • Create clear documentation and aid in the preparation of statistical reports. 
  • Liaise with clients and data scientists to ensure projects are delivered in a timely manner. 

What You Will Bring to the Table: 

  • A masters degree in a relevant subject and/or considerable experience in a similar
  • position for commercial/service organizations. 
  • Expertise in the manipulation, integration, processing and interrogation of large datasets.  
  • Expertise in either R and/or Python, the command line, with strong coding skills and annotation protocols. 
  • Experience running database queries in SQL. 
  • Excellent communication skills. Able to liaise effectively, both internally and externally, to reach successful project conclusions. 
  • Understanding of real-world data in context rather than consider it in abstraction. 
  • Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines. 
  • The ability to work both as part of a team and independently, without supervision as circumstances dictate.