GIS Business Analyst – Utilities & ESRI Solutions

GIS Business Analyst – Utilities & ESRI Solutions

Full-Time 46300 - 52800 Β£ / year (est.) No working from home possible
Expleo

At a Glance

  • Tasks: Analyse requirements and facilitate workshops to drive digital transformation in the water industry.
  • Company: Expleo, a leader in business transformation and digital initiatives.
  • Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge GIS technology.
  • Other info: Exciting role with weekly site travel to Portsmouth and opportunities for professional growth.
  • Why this job: Make a real impact in the UK water sector while collaborating with diverse teams.
  • Qualifications: Experience in ESRI GIS, data governance, and strong stakeholder engagement skills.

The predicted salary is between 46300 - 52800 Β£ per year.

Expleo is seeking an experienced Business Analyst (GIS) to support delivery of business transformation and digital initiatives within the UK water industry.

You will analyse requirements, facilitate workshops and map processes.

A strong background in ESRI GIS, data governance and stakeholder engagement is essential.

You will work across GIS specialists, developers and data teams, with weekly site travel to Portsmouth.

#J-18808-Ljbffr

GIS Business Analyst – Utilities & ESRI Solutions employer: Expleo

Expleo is an exceptional employer, offering a collaborative work environment in Preston where innovation thrives. As an Automotive Systems Engineer, you'll benefit from opportunities for professional growth and skill enhancement while working on cutting-edge projects in Electrical and Embedded Systems. The company prioritises ISO26262 compliance and technical leadership, ensuring that you are at the forefront of automotive advancements.

Expleo

Contact Details:

Expleo Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land GIS Business Analyst – Utilities & ESRI Solutions

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Expleo!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like GIS Business Analyst – Utilities & ESRI Solutions at Expleo.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expleo.

✨Apply Directly through Our Website

When you find a suitable opening like GIS Business Analyst – Utilities & ESRI Solutions at Expleo, 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 Business Analyst – Utilities & ESRI Solutions

Business Analysis
ESRI GIS
Data Governance
Stakeholder Engagement
Process Mapping
Workshop Facilitation
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 Expleo, 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 Expleo. 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 Expleo

✨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 Expleo!

✨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.