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- Tasks: Support quality evaluation and data analysis for advanced image and video systems.
- Company: Leading recruitment firm in London with a focus on innovation.
- Benefits: Hybrid work model, stability until December 2026, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in the tech industry.
- Qualifications: 0-2 years of experience in data analysis or QA; basic Python or SQL knowledge.
- Other info: Collaborate closely with engineers in a supportive environment.
The predicted salary is between 30000 - 42000 £ per year.
A leading recruitment firm is seeking a Business Systems Analyst I in London, UK to support quality evaluation and data analysis for advanced image and video systems. The role involves working closely with engineers and analyzing image/video outputs against defined quality standards.
Ideal candidates will have 0-2 years of experience in data analysis or QA, with a basic understanding of Python or SQL. This hybrid position offers stability through December 2026.
Data & Quality Analyst I — Image/Video Systems (Hybrid) employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Quality Analyst I — Image/Video Systems (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with image and video systems. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got any projects or analyses you've done using Python or SQL, make sure to highlight them in conversations. Real examples can set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on quality standards in image/video outputs. Knowing what to look for can impress interviewers and show you’re serious about the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data & Quality Analyst I — Image/Video Systems (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience in data analysis or quality assurance. We want to see how your skills align with the role, so don’t be shy about showcasing your understanding of Python or SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data & Quality Analyst position and how your background makes you a great fit. We love seeing genuine enthusiasm!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled data analysis or quality evaluation in the past. We’re looking for candidates who can demonstrate their analytical mindset and problem-solving abilities.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Russell Tobin
✨Know Your Data Basics
Make sure you brush up on your data analysis skills, especially in Python and SQL. Be ready to discuss any projects or coursework where you've used these tools, as it shows you're not just familiar with them but can apply them practically.
✨Understand Quality Standards
Familiarise yourself with common quality evaluation metrics used in image and video systems. Being able to talk about how you would assess quality against defined standards will impress the interviewers and show that you’re serious about the role.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and quality assurance. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to communicate effectively with engineers.
✨Show Enthusiasm for Hybrid Work
Since this is a hybrid position, express your excitement about the flexibility it offers. Share any previous experiences you have with remote work or how you manage your time effectively, as this will highlight your adaptability and commitment to productivity.
