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- Tasks: Lead the design of analytical data models and optimise ETL processes.
- Company: Innovative education technology company making a difference in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Play a key role in decision-making through impactful data analysis.
- Qualifications: Extensive experience in analytics engineering with SQL and Python expertise.
- Other info: Join a vibrant team focused on continuous improvement and excellence.
The predicted salary is between 36000 - 60000 £ per year.
An innovative education technology company based in the United Kingdom seeks a Staff Analytics Engineer to lead the design of analytical data models, optimize ETL processes, and set data standards. The ideal candidate has extensive experience in analytics engineering with expertise in SQL and Python. This role is pivotal in supporting decision-making through data in a vibrant and impactful environment, promoting a culture of continuous improvement and excellence.
Analytics Platform Lead: Scalable Data Modeling & BI in City of London employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Platform Lead: Scalable Data Modeling & BI in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytics projects. We want to see your SQL and Python prowess in action, so don’t hold back on sharing your successes.
✨Tip Number 3
Prepare for those interviews! Research common questions for analytics roles and practice your responses. We’re here to help you shine, so think about how you can demonstrate your expertise in data modelling and ETL processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate individuals ready to make an impact in the education tech space.
We think you need these skills to ace Analytics Platform Lead: Scalable Data Modeling & BI in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with our mission at StudySmarter and how you can contribute to our vibrant environment.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and experiences.
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 this exciting opportunity!
How to prepare for a job interview at Preply
✨Know Your Data Models
Make sure you brush up on your knowledge of analytical data models. Be ready to discuss your previous experiences in designing and optimising these models, as well as any challenges you've faced and how you overcame them.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your expertise in SQL and Python during the interview. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready that highlight your skills.
✨Understand ETL Processes
Familiarise yourself with ETL (Extract, Transform, Load) processes, as this role involves optimising them. Be prepared to discuss your approach to improving these processes and any specific techniques you've implemented in the past.
✨Emphasise Continuous Improvement
This position promotes a culture of continuous improvement, so be ready to share how you've contributed to this in your previous roles. Think of specific instances where you've identified areas for enhancement and successfully implemented changes.
