GIS Data Analyst

GIS Data Analyst

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Manage and analyse geospatial data to support property decisions.
  • Company: Join the UK's leading residential surveyor with a strong local presence.
  • Benefits: Competitive salary, flexible working options, and career development opportunities.
  • Other info: Collaborative environment with opportunities to work across various teams.
  • Why this job: Make an impact by providing insights that drive real estate decisions.
  • Qualifications: 5+ years of experience in data analysis and report production.

The predicted salary is between 35000 - 45000 £ per year.

Trading since 1989, e. surv Chartered Surveyors is the UK's number one residential surveyor and the largest provider of property risk expertise and residential surveying services.

To put it into numbers, we complete more than one property inspection every 12 seconds and employ over 600 surveyors from Land’s End to John O’Groats and Northern Ireland.

This gives us the flexibility to offer nationwide coverage combined with invaluable local knowledge.

We're part of the LSL Property Services Group PLC which includes household names Your Move and Reeds Rains as well as the mortgage network PRIMIS.

We work with lenders, intermediaries, social housing entities and estate agents in addition to private customers.

Role

Purpose:- This role will involve managing, analysing, and visualizing geospatial data to support property-related decision-making processes.

The GIS Analyst will collaborate with various teams to provide actionable insights that drive business objectives as well as supporting the data, sales and analysis teams in producing non-GIS reports and insight.

Main Accountabilities Collect, process, and maintain geospatial data related to properties, land use, zoning, and other real estate factors.

Analyse data across multiple internal and external datasets to produce ongoing and one-off reports. 5+ years' experience producing analytic reports (general analysis as we...

GIS Data Analyst employer: e.surv Chartered Surveyors

e.surv Chartered Surveyors is an excellent employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong commitment to employee growth, the company provides ample opportunities for professional development and encourages a diverse workforce, ensuring that every voice is heard. Located in the United Kingdom, e.surv fosters a culture of inclusivity and support, making it a rewarding place for software developers to advance their careers.

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Contact Details:

e.surv Chartered Surveyors Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GIS Data Analyst

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When you find a suitable opening like GIS Data Analyst at e.surv Chartered Surveyors, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace GIS Data Analyst

Geospatial Data Analysis
Data Visualisation
GIS Software Proficiency
Data Processing
Report Generation
Collaboration Skills
Analytical Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at e.surv Chartered Surveyors, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at e.surv Chartered Surveyors. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at e.surv Chartered Surveyors

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at e.surv Chartered Surveyors!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.