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- Tasks: Build a robust data infrastructure and perform advanced analytics for growth and marketing.
- Company: Fast-growing creative agency in Greater London with a dynamic culture.
- Benefits: Competitive salary, work-from-anywhere days, tech budget, and generous holiday allowance.
- Why this job: Join a creative team and make an impact through data-driven insights.
- Qualifications: 3-5 years of experience in analytics engineering with skills in Python, R, and dbt.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing creative agency in Greater London is seeking an Analytics Engineer to build a robust data infrastructure. The role involves data integration, orchestration, and advanced analytics, requiring strong skills in Python, R, and dbt. Ideal candidates will have 3-5 years of experience in analytics engineering. This position offers a competitive salary, work-from-anywhere days, and extensive benefits, including a tech budget and generous holiday allowance.
Remote Analytics Engineer for Growth & Marketing Science in London employer: Ballpoint
Contact Detail:
Ballpoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Analytics Engineer for Growth & Marketing Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics or at creative agencies. 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 projects in Python, R, and dbt. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions. We recommend practising your responses to technical scenarios and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Remote Analytics Engineer for Growth & Marketing Science in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, R, and dbt in your application. We want to see how you've used these tools 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. We love seeing candidates who understand our needs and can demonstrate how their background aligns with what we're looking for.
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 submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Ballpoint
✨Know Your Tech Stack
Make sure you’re well-versed in Python, R, and dbt. Brush up on your skills and be ready to discuss specific projects where you've used these technologies. It’s a great way to show you’re not just familiar but truly proficient.
✨Showcase Your Experience
With 3-5 years of experience expected, prepare to share concrete examples from your past roles. Highlight how you’ve built data infrastructure or improved analytics processes. Use metrics to demonstrate your impact!
✨Understand the Company’s Needs
Research the agency and its clients. Understand their growth strategies and how analytics plays a role. This will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare Questions
Have thoughtful questions ready about the team, projects, and company culture. This shows you’re engaged and helps you assess if it’s the right fit for you. Plus, it gives you a chance to learn more about their approach to analytics.
