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- Tasks: Analyse B2B marketing strategies and build dashboards to boost conversion rates.
- Company: Leading AI audio platform with a focus on innovation.
- Benefits: Remote-first work, flexible city location options, and competitive salary.
- Why this job: Make a real impact on marketing strategies using your data science skills.
- Qualifications: Expertise in SQL, Python, and understanding of B2B sales metrics.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI audio platform is seeking a Data Scientist specialized in marketing analytics. In this hands-on role, you will analyze B2B marketing strategies, build dashboards, and provide insights to enhance conversion rates and marketing investments.
You will work closely with multiple teams and must possess expertise in SQL and Python, as well as a strong understanding of B2B sales metrics. The role is remote-first but offers options to work from multiple city locations.
Marketing Analytics Data Scientist — Remote in London employer: Elevenlabs
Contact Detail:
Elevenlabs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Data Scientist — Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space on LinkedIn or at industry events. A friendly chat can open doors and give you insights into unadvertised roles.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to B2B marketing. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with multiple teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Marketing Analytics Data Scientist — Remote in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in SQL and Python right from the get-go. We want to see how you can leverage these skills in marketing analytics, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with B2B marketing strategies and how you've used data to drive insights. We love seeing how you connect your background to what we do!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for data science and marketing shines through without any fluff!
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. Let’s get started on this journey together!
How to prepare for a job interview at Elevenlabs
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to analyse data or build dashboards. Practising coding challenges can also help you feel more confident.
✨Understand B2B Marketing Metrics
Familiarise yourself with key B2B sales metrics and how they impact marketing strategies. Be ready to share examples of how you've used data to drive marketing decisions in the past. This will show that you not only understand the numbers but can also apply them effectively.
✨Prepare Insightful Questions
Think of insightful questions to ask during the interview. This could be about their current marketing analytics processes or how they measure success. It shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Showcase Your Team Collaboration Skills
Since you'll be working closely with multiple teams, highlight your experience in collaborative projects. Share examples of how you've successfully communicated insights to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between data and actionable strategies.
