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- Tasks: Join Spotify's Business Analytics team to drive global growth strategies and influence user experience.
- Company: Spotify is the leading audio streaming service, connecting millions through music and podcasts.
- Benefits: Enjoy flexible work options, with a mix of remote and in-office collaboration.
- Why this job: Make a real impact on how the world experiences audio while developing your data skills.
- Qualifications: Recent degree in Mathematics, Computer Science, or Data Science; experience with Python/R and SQL required.
- Other info: Opportunity for international travel and collaboration with a diverse, global team.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Growth Analytics Lead to evaluate and influence our global growth strategy. You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working. The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 700M+ users around the globe. At your fingertips, you’ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio!
What You'll Do
- Develop data driven strategies to drive the growth of Spotify users and subscribers
- Design and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the way
- Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization
- Build scalable data pipelines and dashboards to facilitate business performance tracking
- Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth
- Present your findings to senior collaborators, influencing the course of our business
Who You Are
- Recently completed Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science or other relevant field
- Experience synthesizing insights from data using tools such as Python/R and SQL
- Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
- Comfortable using AI-powered tools to accelerate analysis and improve productivity
- Comfortable working on a globally distributed team (with occasional international travel)
Where You'll Be
This role is based in London. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.
Associate Data Scientist, Growth Analytics employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist, Growth Analytics
✨Tip Number 1
Familiarise yourself with Spotify's growth strategy and recent initiatives. Understanding their current goals will help you tailor your discussions during interviews, showing that you're not just interested in the role but also in how you can contribute to their mission.
✨Tip Number 2
Brush up on your data analysis skills, particularly in Python, R, and SQL. Being able to demonstrate your proficiency with these tools in practical scenarios can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've used data to drive business decisions in the past. Have specific examples ready that showcase your ability to derive insights and influence outcomes, as this is a key aspect of the role.
✨Tip Number 4
Network with current or former employees of Spotify, especially those in analytics roles. They can provide valuable insights into the company culture and expectations, which can help you align your approach when applying.
We think you need these skills to ace Associate Data Scientist, Growth Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Associate Data Scientist role at Spotify. Emphasise your proficiency in data analysis tools like Python, R, and SQL, as well as any projects that demonstrate your ability to derive insights from data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it relates to Spotify's mission. Discuss your understanding of growth strategies and how you can contribute to the team. Be sure to mention your collaborative spirit and experience working in distributed teams.
Showcase Your Projects: If you have completed any relevant projects or coursework, include them in your application. Highlight specific examples where you developed data-driven strategies or built data pipelines, as this will demonstrate your practical experience and problem-solving skills.
Prepare for Interviews: Anticipate questions related to data analysis, growth strategies, and your experience with AI-powered tools. Be ready to discuss how you would approach specific challenges Spotify faces in user growth and how your analytical skills can provide solutions.
How to prepare for a job interview at Spotify
✨Showcase Your Analytical Skills
Be prepared to discuss specific projects where you've used data analysis to drive decisions. Highlight your experience with tools like Python, R, and SQL, and be ready to explain how you synthesised insights from complex datasets.
✨Demonstrate Business Acumen
Since the role involves influencing growth strategies, it's crucial to show that you understand the business side of data. Think about how your analyses can impact user growth and be ready to discuss potential strategies you would propose.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, metrics tracking, and A/B testing. Brush up on your knowledge of these areas and be ready to discuss how you would implement them in a real-world scenario.
✨Communicate Clearly and Effectively
You'll need to present your findings to senior collaborators, so practice explaining complex data insights in a clear and concise manner. Use examples to illustrate your points and ensure you can communicate the value of your recommendations.
