Environmental Data Analyst

Make your mark as an Environmental Data Analyst!

As an Environmental Data Analyst you will develop and run coded solutions to aid the collation and analysis of data collected by the field team and where appropriate following laboratory analyses. They will work alongside the environmental reporting team and where applicable other Gardline departments to implement time-saving solutions to assist in the delivery of client deliverables. The Environmental Data Analyst will be forward-thinking and adaptable in their role, allowing them to prioritise tasks based on company and client requirements. Data shall be from the core disciplines of either Marine Wildlife or Benthic acquisition.

Your responsibilities:

• Develop and maintain analytical code to expedite environmental assessment of the acquired data.
• Work alongside the Client and Deputy Reporting Managers to develop software and write code enabling more streamlined offshore data acquisition.
• Provide training in the use of tools and scripts to the reporting team.
• Undertake database creation and maintenance along with modelling of environmental datasets to further Gardline’s analysis capabilities.
• Through the use of developed code and software tools analyse, interpret and present data interrogation findings relevant to the Marine Wildlife and/or Environmental disciplines (training will be given where required).
• Maintain quality control records for software, code and tools developed within the role.
• Update databases with individual project metadata and key analysis results when required.
• Liaise with and assist other Gardline departments when required.

Requirements

Your qualities:
You can make your mark as an Environmental Data Analyst if you have:

• MSc or higher Degree (or equivalent) in a relevant discipline (i.e. Computer or Data Science, Software Development or Marine Science)
• Proven coding knowledge and software creation experience.
• Skills in one or more coding languages (Python, C# and Windows Presentation Framework (WPF), R, MATLAB or .net languages)
• Three years experience of MS Office products (particularly Word, Excel and PowerPoint).
• At least two years demonstrable experience of writing computer code for scientific analytical tasks.