At a Glance
- Tasks: Ensure data accuracy and collaborate with teams to resolve data issues.
- Company: Leading data solutions provider based in Birmingham.
- Benefits: 28 days holiday, performance bonuses, and well-being support.
- Why this job: Join a dynamic team and make an impact in data operations.
- Qualifications: Skills in SQL, Python, QGIS, and AWS experience preferred.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 30000 - 42000 £ per year.
A leading data solutions provider in Birmingham is looking for a Data Operations Specialist to ensure data product accuracy and completeness. The successful candidate will collaborate with Data Aggregation and Engineering teams, managing quality assurance, testing, and resolving data issues.
Required skills include SQL, Python, and QGIS, with preferred experience in data handling on AWS.
This position comes with benefits like 28 days holiday, performance bonuses, and well-being support.
Geospatial Data Operations Specialist in Birmingham employer: INRIX
Contact Detail:
INRIX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Operations Specialist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial data field on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL, Python, and QGIS projects. We all love a good visual, and it’ll give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to data operations and be ready to discuss how you’ve tackled data issues in the past. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you land that dream job!
We think you need these skills to ace Geospatial Data Operations Specialist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and QGIS. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data operations and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills: Since this role involves resolving data issues, share examples of how you've tackled challenges in the past. We’re keen to see your analytical thinking and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at INRIX
✨Know Your Tech
Make sure you brush up on your SQL, Python, and QGIS skills 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.
✨Understand Data Quality
Since the role focuses on data accuracy and completeness, prepare to talk about your approach to quality assurance and testing. Think of specific examples where you identified and resolved data issues, as this will demonstrate your problem-solving skills.
✨Familiarise with AWS
If you have experience with data handling on AWS, be sure to highlight it. If not, do a bit of research on how AWS can be used for data operations. Showing that you're proactive about learning new technologies can really impress the interviewers.
✨Collaborative Mindset
This position involves working closely with Data Aggregation and Engineering teams. Be prepared to discuss your teamwork experiences and how you’ve successfully collaborated with others to achieve common goals. This will show that you’re a good fit for their team-oriented culture.