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- Tasks: Lead data extraction, engineering, and visualisation projects to exceed client expectations.
- Company: Dynamic data & analytics consulting firm based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team that values innovation and collaboration in the data space.
- Qualifications: Strong skills in Python, SQL, machine learning, and excellent communication.
- Other info: Exciting projects with a focus on continuous improvement and client satisfaction.
The predicted salary is between 43200 - 72000 £ per year.
A data & analytics consulting firm based in Greater London is looking for a Senior Data & Analytics Consultant. You will be responsible for technical delivery including data extraction, engineering, and visualisation, ensuring projects meet client expectations.
The ideal candidate will have a strong background in Python, SQL, and machine learning, alongside excellent communication skills. This role emphasizes client collaboration and continuous improvement within project and analytical practices.
Senior Data & Analytics Architect in London employer: Xantura Limited
Contact Detail:
Xantura Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in the data and analytics field, especially those who work at firms you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and machine learning. This is your chance to demonstrate your technical delivery prowess and make a lasting impression.
✨Tip Number 3
Prepare for interviews by practising common questions related to data extraction and visualisation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & Analytics Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and machine learning. 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 and analytics, and how your background makes you the perfect fit for our team. Let us know how you can contribute to client success.
Showcase Your Communication Skills: Since this role involves client collaboration, it’s crucial to demonstrate your communication prowess. Whether it’s in your CV or cover letter, highlight experiences where you’ve effectively communicated complex data insights to non-technical stakeholders.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Xantura Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and machine learning skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Communication Skills
Since this role emphasises client collaboration, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated with clients or team members to ensure everyone was on the same page.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific situations related to data extraction, engineering, or visualisation. Prepare by thinking through past experiences and how they relate to potential challenges in this role.
✨Demonstrate a Continuous Improvement Mindset
Be ready to discuss how you've implemented improvements in your previous projects. Highlight any processes you've optimised or new techniques you've introduced that enhanced project outcomes or client satisfaction.
