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- Tasks: Analyse geospatial data and model physical objects using Python.
- Company: Join a fast-growing SaaS and data analytics company in Southampton.
- Benefits: Enjoy competitive salary, potential for remote work, and great corporate perks.
- Why this job: Be part of an innovative team making an impact in the data analytics field.
- Qualifications: Experience with Python and big data processing is essential.
- Other info: This role offers opportunities for professional growth in a dynamic environment.
The predicted salary is between 24000 - 36000 £ per year.
VIQU have partnered with a fast growing SaaS and data analytics company who are looking to expand their current team and hire a geospatial data analyst. The ideal candidate will hold experience with modelling physical objects, have extensive experience with Python (or a similar language), and an ability to process big data.
Data Analyst employer: VIQU Limited
Contact Detail:
VIQU Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with geospatial data analysis tools and techniques. Being able to demonstrate your knowledge of specific software or libraries, such as QGIS or GeoPandas, can set you apart from other candidates.
✨Tip Number 2
Showcase your Python skills by working on relevant projects. Consider contributing to open-source projects or creating your own portfolio that highlights your ability to process and analyse big data effectively.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who specialise in geospatial analysis. Attend industry meetups or webinars to make connections and learn about potential job openings.
✨Tip Number 4
Prepare for technical interviews by practising common data analysis problems and case studies. Being able to articulate your thought process and problem-solving approach will impress interviewers.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, particularly in geospatial contexts. Include specific projects where you've modelled physical objects and processed big data using Python or similar languages.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant skills and experiences, and explain how they align with the job requirements. Be sure to showcase your passion for data analytics.
Showcase Relevant Projects: If you have worked on any projects that involved geospatial data analysis or big data processing, include them in your application. Briefly describe the challenges you faced and how you overcame them, as well as the tools you used.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at VIQU Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any other programming languages you know. Bring examples of projects where you've modelled physical objects or processed big data, as this will demonstrate your technical capabilities.
✨Understand Geospatial Data
Familiarise yourself with geospatial data concepts and tools. Be ready to explain how you've worked with such data in the past, and consider discussing any relevant software or methodologies you've used.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving skills. Practice articulating your thought process when tackling complex data challenges, as this will show your ability to think critically.
✨Research the Company
Take some time to learn about the company’s products and services, especially their SaaS offerings. Understanding their business model and how they leverage data analytics will help you tailor your responses and show genuine interest.
