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- Tasks: Transform multi-channel data into actionable insights and support client growth programs.
- Company: Leading marketing science agency in the UK with a focus on innovation.
- Benefits: Flexible work arrangements and a range of attractive benefits.
- Why this job: Join a dynamic team and make a real impact on client growth strategies.
- Qualifications: 3-5 years of experience, strong SQL and GA4 skills, effective communication.
- Other info: Exciting opportunity for career development in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading marketing science agency in the UK is seeking a driven Data Analyst to transform multi-channel data into actionable insights. This foundational role focuses on building infrastructure behind client growth programs and involves data hygiene, analysis, and experimentation.
Candidates should have 3-5 years of experience, strong skills in SQL and GA4, and the ability to communicate effectively with commercial teams. The position offers flexible work arrangements and various benefits.
Growth Data Analyst: Insight-Driven, Multi-Channel employer: Ballpoint
Contact Detail:
Ballpoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Data Analyst: Insight-Driven, Multi-Channel
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. 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 data analysis projects, especially those involving SQL and GA4. 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 practising common questions related to data analysis and growth strategies. We recommend using real-world examples from your experience to demonstrate your problem-solving skills and how you can drive client growth.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Growth Data Analyst: Insight-Driven, Multi-Channel
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and GA4 in your application. We want to see how you've used these tools to drive insights and support growth, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your unique experiences align with our needs, especially when it comes to multi-channel data analysis.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
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 this exciting opportunity!
How to prepare for a job interview at Ballpoint
✨Know Your Data Tools
Make sure you brush up on your SQL and GA4 skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Showcase Your Insight-Driven Approach
Prepare examples of how you've transformed data into actionable insights in previous roles. Highlight specific instances where your analysis led to measurable growth or improvements for clients, as this aligns perfectly with what the agency is looking for.
✨Communicate Like a Pro
Since you'll be working closely with commercial teams, practice explaining complex data concepts in simple terms. Think of ways to demonstrate your ability to bridge the gap between data analysis and business strategy during the interview.
✨Ask Smart Questions
Come prepared with questions that show your interest in the company's growth programs and data infrastructure. This not only demonstrates your enthusiasm but also gives you insight into how you can contribute to their success.
