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- Tasks: Lead the development of self-service data products and build scalable datasets.
- Company: A leading ad-tech platform in Greater London with a focus on innovation.
- Benefits: Flexible working, generous annual leave, and healthcare options.
- Why this job: Shape the future of data insights and empower business users with your expertise.
- Qualifications: Expertise in SQL, data modelling, and strong stakeholder management skills.
- Other info: Join a dynamic team and make a real impact in the ad-tech industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading ad-tech platform in Greater London is seeking an experienced analytics engineer to lead the development of self-service data products. The role involves building scalable datasets, leading tooling selection, shaping datasets for machine learning, and training business users.
Significant expertise in SQL and data modelling is essential, along with strong stakeholder management.
The position offers flexible working and various benefits, including generous annual leave and healthcare options.
Analytics Engineer: Self-Serve Data & ML-Ready Insights employer: Venatus
Contact Detail:
Venatus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Self-Serve Data & ML-Ready Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the ad-tech space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and data modelling work. We love seeing real examples of what you can do, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common analytics engineer questions and be ready to discuss your experience with self-service data products. We want to see your passion and expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to join our team.
We think you need these skills to ace Analytics Engineer: Self-Serve Data & ML-Ready Insights
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your expertise in SQL and data modelling in your application. We want to see how you've used these skills in past projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to building scalable datasets and shaping datasets for machine learning. It’ll show us you’re genuinely interested!
Stakeholder Management Matters: Since strong stakeholder management is key for this position, share examples of how you've successfully collaborated with different teams or users. We love to see how you can bridge the gap between tech and business!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Venatus
✨Know Your SQL Inside Out
Since the role requires significant expertise in SQL, make sure you brush up on your skills. Be prepared to discuss complex queries you've written and how you've optimised them for performance. Practising common SQL interview questions can really help you stand out.
✨Showcase Your Data Modelling Skills
Be ready to explain your approach to data modelling. Bring examples of past projects where you’ve built scalable datasets. Discuss the challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Prepare for Stakeholder Management Questions
Strong stakeholder management is key for this position. Think of specific instances where you successfully collaborated with business users or other teams. Highlight how you communicated technical concepts to non-technical stakeholders to ensure everyone was on the same page.
✨Emphasise Your Training Experience
Training business users is part of the job, so be prepared to talk about your experience in this area. Share examples of how you’ve developed training materials or conducted workshops, and how you tailored your approach to different audiences.
