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- Tasks: Ensure quality datasets and collaborate on data improvements for digital products.
- Company: Tech-focused company in the UK with a passion for data.
- Benefits: 25 days holiday, flexible working, and great career development.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: GIS or Data qualification, plus experience in SQL, Python, and ETL.
- Other info: Hybrid role with occasional office meetings in Exeter.
The predicted salary is between 30000 - 50000 £ per year.
A technology and data focused company in the United Kingdom is seeking a GIS Analyst/Data Analyst. This hybrid role requires occasional meetings at the Exeter office.
Responsibilities include:
- Ensuring the quality of datasets for various digital products
- Collaborating with colleagues on data improvements
- Managing workloads effectively
Candidates must have a qualification in GIS or Data, with practical experience in data analysis, and knowledge of SQL, Python, and ETL processes.
The role offers attractive benefits including 25 days holiday and flexible working opportunities.
Hybrid GIS & Data Analyst — Build Clean Datasets employer: Bowerford Associates
Contact Detail:
Bowerford Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid GIS & Data Analyst — Build Clean Datasets
✨Tip Number 1
Network like a pro! Reach out to people in the GIS and data analysis field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for those interviews! Research common questions for GIS and data analyst roles, and practice your answers. We recommend using the STAR method to structure your responses and showcase your skills effectively.
✨Tip Number 3
Show off your skills with a portfolio! Create a collection of your best projects that highlight your experience with SQL, Python, and ETL processes. This will give you an edge and demonstrate your practical abilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Hybrid GIS & Data Analyst — Build Clean Datasets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your GIS and data analysis qualifications. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or skills like SQL and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this hybrid role and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Data Skills: Since this role focuses on building clean datasets, make sure to mention any specific tools or processes you’ve used in the past. If you have experience with ETL processes, let us know how you’ve applied that knowledge in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Bowerford Associates
✨Know Your Tech
Make sure you brush up on your SQL, Python, and ETL processes before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Data Skills
Prepare examples of how you've ensured data quality in previous roles. Think about specific challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to manage workloads effectively.
✨Collaboration is Key
Since the role involves working with colleagues on data improvements, be ready to talk about your teamwork experiences. Highlight any successful collaborations and how they led to better outcomes, showing that you're a team player.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategies or the specific projects you might work on. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
