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- Tasks: Lead customer onboarding and enhance AI capabilities for analytics platforms.
- Company: Join a leading global supply chain organisation shaping data-driven intelligence.
- Benefits: Competitive salary, remote work options, and opportunities for career growth.
- Why this job: Influence the future of data analytics and work with cutting-edge AI technologies.
- Qualifications: 3+ years in analytics engineering and familiarity with AI/LLM concepts.
- Other info: Dynamic role with a focus on innovation and scalability in data solutions.
The predicted salary is between 60000 - 84000 £ per year.
This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: £70,000 - £80,000 + Benefits.
The Company
Our client is a leading global supply chain organisation that is shaping the future of data‑driven intelligence for some of the world's biggest retail and FMCG companies. They are committed to empowering businesses through advanced analytics, AI, and their modern data architecture.
Why join them?
- Work at the intersection of data engineering, analytics, and AI.
- Influence the future of their enterprise data platform.
- Career growth in a rapidly evolving data and AI landscape.
The Role
This is no ordinary Analytics Engineer role; this would suit a presales engineer or vendor solution architect with skills and experience in Natural Language Processing and LLM based products. Specifically, you will play a key role in enabling advanced AI/LLM capabilities and driving self‑service analytics across the organisation. You’ll design and implement modern data models, onboard internal customers to the analytics platform, and continuously improve the data ecosystem for scalability and accuracy.
Key responsibilities:
- Lead customer onboarding for analytics platforms, delivering training and technical support.
- Enrich datasets for AI/LLM applications, including metadata management and semantic layers.
- Monitor Natural Language Query (NLQ) performance and implement optimisation strategies.
- Develop and maintain a strategic roadmap for platform scalability and accuracy.
- Design and develop integrated data models using DBT and dimensional modelling best practices.
Your Experience
We’re looking for a proactive, problem‑solving professional with strong technical and communication skills. 3+ years in analytics engineering, data engineering, or similar roles. Familiarity with AI/LLM concepts and NLQ tools used in data visualisation. Power BI - Q.
Analytics Engineer employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a portfolio or a GitHub repository showcasing your projects related to analytics engineering. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to analytics engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your background in analytics engineering and any relevant projects you've worked on, especially those involving AI and Natural Language Processing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your experience aligns with the company's goals. Don't forget to mention your problem-solving skills and any specific achievements that relate to the position.
Showcase Your Technical Skills: Since this role involves advanced analytics and data modelling, be sure to include any technical skills you possess, like DBT or Power BI. If you've worked with NLQ tools, make that clear! We want to see how you can contribute to our data ecosystem.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills required for the role, especially around Natural Language Processing and LLM products. Brush up on your knowledge of data models, DBT, and any relevant tools like Power BI. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you’ve tackled complex problems or optimised processes. This role is all about enhancing analytics platforms, so demonstrating your analytical thinking and how you’ve approached challenges will resonate well with the interviewers.
✨Communicate Clearly and Effectively
Since this position involves onboarding customers and delivering training, strong communication skills are a must. Practice explaining technical concepts in simple terms, as you might need to do this during the interview. Clear communication can set you apart from other candidates.
✨Research the Company and Its Clients
Understand the company’s mission and the industries they serve, particularly in retail and FMCG. Knowing their approach to data-driven intelligence will help you tailor your answers and show genuine interest in how you can contribute to their goals.
