At a Glance
- Tasks: Measure the effectiveness of paid marketing and develop advanced analytical methodologies.
- Company: Rapidly growing online marketplace with a focus on innovation.
- Benefits: Hybrid working model, parental leave, sabbatical options, and more.
- Why this job: Join a dynamic team and make an impact in marketing analytics.
- Qualifications: Experience in marketing analytics, Python, SQL, and strong communication skills.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A rapidly growing online marketplace is seeking a Staff Data Scientist to join their Marketing Analytics team. This role focuses on measuring the effectiveness of paid marketing efforts and developing advanced analytical methodologies.
Ideal candidates will have:
- Extensive experience in marketing analytics
- Proficiency in Python and SQL
- The ability to communicate complex analyses to various stakeholders
The position includes a hybrid working model and various employee benefits like parental leave and sabbatical options.
Staff Data Scientist: Paid Marketing Analytics & Attribution in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist: Paid Marketing Analytics & Attribution in London
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. We love seeing real-world applications of your analytical prowess, so make sure to highlight your best work.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past experiences in marketing analytics. We want to see how you can communicate complex analyses clearly.
✨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’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Staff Data Scientist: Paid Marketing Analytics & Attribution in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in marketing analytics, especially with Python and SQL. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or achievements that relate to measuring paid marketing effectiveness. It helps us see how you fit into our team!
Communicate Clearly: Since you'll be sharing complex analyses with various stakeholders, showcase your ability to communicate effectively in your application. Use clear language and avoid jargon where possible.
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!
How to prepare for a job interview at Depop
✨Know Your Analytics Inside Out
Make sure you brush up on your marketing analytics knowledge. Be prepared to discuss specific methodologies you've used in the past, especially those related to measuring paid marketing effectiveness. This will show that you’re not just familiar with the concepts but have practical experience applying them.
✨Show Off Your Technical Skills
Since proficiency in Python and SQL is key for this role, be ready to demonstrate your skills. You might be asked to solve a problem or analyse a dataset during the interview. Practise coding challenges beforehand to ensure you're sharp and confident.
✨Communicate Clearly and Effectively
You’ll need to explain complex analyses to various stakeholders, so practice simplifying your explanations. Use examples from your past work where you successfully communicated insights to non-technical audiences. This will highlight your ability to bridge the gap between data and decision-making.
✨Understand the Company’s Marketing Strategy
Research the company’s current marketing efforts and think about how your skills can contribute. Being able to discuss their strategies and suggest improvements based on your expertise will demonstrate your genuine interest in the role and the company.