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- Tasks: Support AI-driven solutions by delivering advanced analytics and data engineering.
- Company: Leading technology firm with a focus on innovation and collaboration.
- Benefits: Hybrid working model, flexible hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technologies.
- Qualifications: Strong data analysis skills, SQL and Python proficiency, and experience with data visualisation tools.
- Other info: Work in a collaborative environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm is seeking a senior, hands-on Data Analyst / Data Engineer to support AI-enabled solutions. This role involves collaborating with cross-functional teams to deliver advanced analytics and data engineering solutions.
Key qualifications include:
- Strong data analysis skills
- Proficiency in SQL and Python
- Experience with data visualization tools
- Knowledge of cloud platforms
The position offers a hybrid working model with flexibility to work from the London office three times a week.
Senior Data Analyst & Engineer - AI-Driven Insights employer: Amach
Contact Detail:
Amach Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst & Engineer - AI-Driven Insights
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data analytics or engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, and visualisation tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Analyst & Engineer - AI-Driven Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong data analysis skills and proficiency in SQL and Python right from the get-go. We want to see how your experience aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with data visualisation tools and cloud platforms, as these are key qualifications we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your relevant experience and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Amach
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any data visualisation software you're familiar with. This will show that you’re not just a theoretical expert but someone who can apply their knowledge practically.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you’ve worked with different departments or stakeholders to deliver analytics solutions. Highlighting your teamwork will demonstrate that you can thrive in a hybrid working environment.
✨Understand AI-Driven Insights
Familiarise yourself with the latest trends in AI and how they relate to data analysis and engineering. Be ready to discuss how you can leverage AI to enhance data insights. Showing that you’re knowledgeable about AI applications will set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the specific challenges they face. This not only shows your genuine interest in the role but also gives you a chance to assess if the company is the right fit for you. Engaging in a two-way conversation can leave a lasting impression.
