At a Glance
- Tasks: Lead marketing data strategies and mentor team members while translating insights into actionable recommendations.
- Company: Join Deepstreamtech, a forward-thinking company in the heart of Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by driving data-driven marketing decisions in a collaborative environment.
- Qualifications: Strong SQL skills and experience with tools like Braze and GA4 are essential.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is seeking an experienced Senior Marketing Data Analyst based in Greater London. This role requires a collaborative communicator who can mentor others while driving marketing data strategies. You will work directly with the Customer Marketing team, translating complex data insights into business recommendations, ensuring the scalability and effectiveness of data models, and developing user-friendly tools for accessibility.
Ideal candidates should have a strong grasp of SQL and tools like Braze and GA4.
Lead Marketing Data Architect & Analyst employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer mentorship opportunities and the chance to lead impactful marketing data strategies, ensuring that your contributions are both meaningful and rewarding. Join us to be part of a dynamic team where your expertise in data analysis will drive success and accessibility for our customers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Marketing Data Architect & Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing data space, especially those who work at Deepstreamtech or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any tools you've developed using Braze or GA4. This not only highlights your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common marketing data scenarios. Think about how you would translate complex data insights into actionable business recommendations. We want you to be ready to impress with real-world examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Marketing Data Architect & Analyst
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and any tools like Braze and GA4 in your application. We want to see how your skills align with the role, so don’t hold back!
Be a Storyteller:When you describe your past experiences, think about how you can translate complex data insights into actionable business recommendations. We love candidates who can tell a compelling story with their data!
Collaborate and Communicate:Since this role involves working closely with the Customer Marketing team, emphasise your collaborative communication skills. Share examples of how you've mentored others or worked in a team setting.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with tools like Braze and GA4. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Communication Skills
Since the role involves collaborating with the Customer Marketing team, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated data-driven recommendations to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical marketing data challenges. Prepare by thinking through how you would approach these scenarios, focusing on scalability and effectiveness in your solutions.
✨Mentorship Mindset
As a mentor, you'll need to demonstrate your ability to guide others. Think of instances where you've helped colleagues improve their skills or understanding of data analysis, and be ready to share those experiences during the interview.
