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Data Analyst - Risk Environmental

Kinect Recruitment
Posted 11 days ago, valid for 14 days
Location

Shrewsbury, Shropshire SY3 8BW, England

Salary

£25,000 - £30,000 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Data Analyst position in the Risk division is based in Shrewsbury and is a full-time, permanent role with a salary range of £25,000 - £30,000 per annum.
  • The role involves analyzing extensive datasets, creating reports, applying GIS techniques, and collaborating with various teams to drive business strategies.
  • Candidates should have a degree in Environmental Sciences, Data Science, or a related field, along with experience in GIS and spatial data analysis.
  • Strong analytical skills, problem-solving abilities, and effective communication skills are essential, with a basic knowledge of Python being advantageous.
  • The company offers a competitive salary, comprehensive annual leave, a contributory pension scheme, professional development opportunities, and flexible working arrangements.

Data Analyst - Risk

Location: Shrewsbury Job Type: Full-time, Permanent - Monday to Friday Salary: £25,000 - £30,000 per annum

About Our Client:

Our client is a prominent environmental data and reporting company headquartered in Shrewsbury, Shropshire. Specializing in environmental impacts and climate change, they provide crucial insights and reports across the UK. As they continue to grow, they are seeking creative minds to join their team and contribute to their expanding portfolio.

Job Overview:

Our client is looking for an enthusiastic Data Analyst to join their Risk division. In this role, you will be crucial in transforming complex data into actionable insights, supporting business strategies, and contributing to the company's success. This is a fantastic opportunity to make a significant impact within a rapidly growing organization.

Responsibilities:

  • Data Analysis: Analyse extensive datasets to extract meaningful insights and trends.
  • Report Creation: Develop and present detailed reports based on data analysis.
  • GIS and Spatial Data: Apply GIS techniques to enhance environmental risk assessments.
  • Team Collaboration: Work closely with various teams to integrate data-driven insights into projects and strategies.
  • Innovation: Suggest improvements and data-driven solutions to support business development.

Requirements:

  • Education: Degree in Environmental Sciences, Data Science, or a related field.
  • Experience:
    • Experience with GIS and spatial data analysis.
    • Strong analytical skills and proficiency in statistics.
    • Basic knowledge of Python or other coding languages is advantageous.
  • Skills:
    • Ability to analyse and interpret complex data sets.
    • Excellent problem-solving and critical thinking abilities.
    • Strong communication skills for presenting insights clearly.
    • Capability to work independently and as part of a team.

Preferred Attributes:

  • Interest or experience in environmental risk management and flood risk data.
  • Experience or enthusiasm for business development.

What Our Client Offers:

  • Competitive salary.
  • Comprehensive annual leave package.
  • Contributory pension scheme.
  • Opportunities for professional development.
  • Flexible working arrangements.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.