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- Tasks: Shape analytics-ready data models and enable AI-powered insights.
- Company: Dynamic data-driven organisation in the UK with a focus on innovation.
- Benefits: Flexible working options, including remote work, and competitive salary.
- Why this job: Join a team that drives impactful AI insights and enhances analytical capabilities.
- Qualifications: Over 3 years of experience in DBT, SQL, and familiarity with BI tools.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic data-driven organization in the UK is seeking an Analytics Engineer to shape analytics-ready data models and enable AI-powered insights. This role involves designing production-ready data models, integrating diverse data sources, and enhancing analytical capabilities across the business.
Ideal candidates will have:
- Over 3 years of relevant experience
- Expertise in DBT and SQL
- A familiarity with BI tools and cloud data warehousing
Flexible working options are available, including remote work.
AI-Driven Analytics Engineer (Remote) | Scale Data employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Analytics Engineer (Remote) | Scale Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in data-driven roles.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analytics projects. We all know that actions speak louder than words, so let your work do the talking when you land those interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on DBT, SQL, and BI tools. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 AI-Driven Analytics Engineer (Remote) | Scale Data
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with DBT, SQL, and any BI tools you've used. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the posting to show us you’re a perfect fit for the Analytics Engineer position.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see why you’d be a great addition to our team.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Data Models
Make sure you understand the intricacies of data models, especially those relevant to AI-driven analytics. Be prepared to discuss your experience with designing production-ready data models and how you've integrated diverse data sources in past projects.
✨Showcase Your SQL Skills
Brush up on your SQL knowledge before the interview. Be ready to demonstrate your expertise by discussing specific queries you've written or optimised, and how they contributed to analytical insights in your previous roles.
✨Familiarise Yourself with BI Tools
Since familiarity with BI tools is key for this role, take some time to review the most common ones used in the industry. Be prepared to talk about how you've used these tools to enhance analytical capabilities and drive business decisions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they leverage AI for insights. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
