Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 strong Python, R, and dbt skills.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, and dbt. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions. Practice explaining your past projects and how you've tackled challenges in data integration and orchestration.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Analytics Engineer for Growth & Marketing Science
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 take the time to align their experiences with what we’re looking for in an Analytics Engineer.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications 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. Plus, it’s super easy!
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 technical skills and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your experience in building data infrastructure.
✨Showcase Your Problem-Solving Skills
Analytics engineering is all about solving complex problems. Be prepared to walk through a challenging project you’ve worked on, detailing how you approached the problem, the solutions you implemented, and the impact it had on the business.
✨Understand the Company’s Goals
Research the agency and understand their growth and marketing strategies. Tailor your responses to show how your skills can help them achieve their objectives. This shows genuine interest and helps you stand out as a candidate who aligns with their vision.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data processes, team dynamics, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
