Data Analyst – Risk Environmental

Shrewsbury
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist - Merchant and Loyalty Rewards Protection Analyst, AVP

Principal Data Scientist

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.