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- Tasks: Ensure data accuracy and validate datasets for our analytics platform.
- Company: Leading UK analytics company with a focus on collaboration.
- Benefits: Permanent hybrid role with competitive salary and growth opportunities.
- Why this job: Join a team dedicated to quality and data-driven decisions.
- Qualifications: Strong QA background and excellent SQL skills required.
- Other info: Dynamic work environment with a focus on teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics company in the UK is looking for an ML / QA Analyst to enhance its Microsoft Fabric Lakehouse analytics platform. This permanent hybrid role includes responsibilities for QA and data validation, validating datasets, and ensuring data accuracy.
The ideal candidate will have a strong background in QA, excellent SQL skills, and the ability to communicate effectively across teams. Join a collaborative team focused on quality and data-driven decision-making.
Hybrid ML QA Analyst: Data Quality & ML Assurance employer: Field Sales Solutions Limited
Contact Detail:
Field Sales Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML QA Analyst: Data Quality & ML Assurance
✨Tip Number 1
Network like a pro! Reach out to people in the analytics and QA fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've ensured data accuracy in past roles. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight examples of how you've worked with cross-functional teams. This role is all about communication, so let us know how you’ve made teamwork happen.
✨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. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid ML QA Analyst: Data Quality & ML Assurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your QA experience and SQL skills. We want to see how your background aligns with 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 excited about the role and how you can contribute to our team. Keep it conversational but professional – we love a bit of personality!
Showcase Your Communication Skills: Since this role involves working across teams, it’s important to demonstrate your communication abilities. Whether it’s in your CV or cover letter, give examples of how you’ve effectively collaborated in the past.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Field Sales Solutions Limited
✨Know Your SQL Inside Out
Since the role requires excellent SQL skills, make sure you brush up on your SQL knowledge. Be prepared to answer questions about complex queries, data manipulation, and how you’ve used SQL in past projects. Practising with real datasets can help you feel more confident.
✨Showcase Your QA Experience
Highlight your previous experience in QA during the interview. Prepare specific examples of how you've validated datasets and ensured data accuracy. Discuss any tools or methodologies you've used, as this will demonstrate your hands-on experience and understanding of quality assurance processes.
✨Communicate Clearly and Effectively
As the job involves cross-team communication, practice articulating your thoughts clearly. You might be asked to explain technical concepts to non-technical team members, so think about how you can simplify complex ideas without losing their essence. Good communication can set you apart!
✨Emphasise Collaboration
This role is part of a collaborative team, so be ready to discuss how you work with others. Share examples of successful teamwork, especially in data-driven projects. Highlight your ability to listen, adapt, and contribute to group discussions, as this will show you're a great fit for their culture.