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- Tasks: Ensure data accuracy through QA and validation processes for our analytics platform.
- Company: Leading analytics firm with a focus on innovation and collaboration.
- Benefits: Flexible work culture, skill development opportunities, and meaningful ownership.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Solid QA background, strong SQL skills, and an analytical mindset.
- Other info: Permanent hybrid role based in Thame, England.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm is seeking an ML / QA Analyst for a permanent hybrid role in Thame, England. In this position, you will be responsible for QA and data validation processes for our modern Microsoft Fabric Lakehouse analytics platform.
Candidates should have a solid background in QA, strong SQL skills, and an analytical mindset to ensure data accuracy.
The role offers meaningful ownership and flexible work culture, promoting skill development in a collaborative team environment.
ML QA Analyst: Data Quality & ML Validation (Hybrid) in Thame employer: Field Sales Solutions
Contact Detail:
Field Sales Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML QA Analyst: Data Quality & ML Validation (Hybrid) in Thame
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics and QA space 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
Show off your skills! If you've got strong SQL skills, consider creating a mini-project or a portfolio piece that highlights your data validation prowess. This can really set you apart during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on common QA methodologies and be ready to discuss how you ensure data accuracy. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by our hiring team. Plus, it shows you’re genuinely interested in joining our collaborative culture.
We think you need these skills to ace ML QA Analyst: Data Quality & ML Validation (Hybrid) in Thame
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 ML QA Analyst position and how your analytical mindset can contribute to our data validation processes.
Showcase Your Analytical Skills: In your application, give examples of how you've ensured data accuracy in past roles. We love seeing real-world applications of your skills, so don’t hold back on the details!
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 this exciting opportunity in our collaborative team environment!
How to prepare for a job interview at Field Sales Solutions
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to answer questions about data manipulation, querying techniques, and how you would validate data accuracy using SQL.
✨Showcase Your QA Experience
Highlight your previous experience in QA processes during the interview. Prepare specific examples of how you've ensured data quality in past projects, and be ready to discuss the tools and methodologies you've used.
✨Demonstrate Your Analytical Mindset
This role requires an analytical mindset, so think of scenarios where you've had to analyse data and draw conclusions. Be prepared to discuss how you approach problem-solving and what steps you take to ensure data integrity.
✨Emphasise Team Collaboration
With a focus on a collaborative team environment, be ready to talk about your experiences working in teams. Share examples of how you've contributed to team success and how you handle feedback and communication with colleagues.
