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- Tasks: Improve and operate data pipelines while ensuring data quality and building automation.
- Company: Leading data solutions provider in Greater London with a high-trust team culture.
- Benefits: Top-tier compensation and opportunities for significant impact.
- Why this job: Join a dynamic team and make a real difference in data management.
- Qualifications: 1-3 years of data analysis experience, strong SQL skills, and knowledge of Python.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A data solutions provider in Greater London is seeking a Data Analyst to improve and operate data pipelines. Responsibilities include ensuring data quality, scaling ingestion, and building automation.
The ideal candidate will have 1–3 years of experience in data analysis, strong skills in SQL, and knowledge of Python.
This role offers top-tier compensation and a chance for significant impact within a high-trust team environment.
Data Analyst: Automation & Data Quality in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Automation & Data Quality in London
✨Tip Number 1
Network like a pro! Reach out to folks in the 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 data analysis projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. We recommend practising your answers to technical questions and being ready to discuss your past experiences in detail.
✨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 Analyst: Automation & Data Quality in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially with SQL and Python. We want to see how your skills align 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 passionate about data quality and automation. We love seeing candidates who can articulate their enthusiasm for the role and our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data challenges in the past. We’re looking for someone who can think critically and improve data pipelines, so let us know how you’ve done this before!
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 on your way!
How to prepare for a job interview at Boam AI
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. 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 Python Knowledge
Since Python is a key part of the role, be ready to discuss any relevant projects where you've used it. You might even want to prepare a small coding challenge or example to demonstrate your skills. This will show that you're not just familiar with Python, but that you can apply it effectively.
✨Understand Data Quality Principles
Familiarise yourself with data quality concepts and best practices. Be ready to discuss how you’ve ensured data integrity in previous roles. Sharing specific examples of how you’ve tackled data quality issues will impress the interviewers.
✨Prepare Questions About Automation
Think about how automation plays a role in data analysis and be prepared to ask insightful questions about the company's current processes. This shows your interest in improving efficiency and your proactive approach to problem-solving.
