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For Companies At a Glance
- Tasks: Analyse large data sets to drive insights for audiobook teams and create impactful presentations.
- Company: Join Spotify, the world's leading audio streaming service with over 615 million users.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a passionate team shaping the future of audiobooks in a creative culture.
- Qualifications: 3+ years of experience with SQL, Python, or R; degree in a quantitative field preferred.
- Other info: This role is based in London and requires an EU work permit.
The predicted salary is between 28800 - 48000 £ per year.
Everything we do is driven by our love for music, podcasts & books. Today, we are the world’s most popular audio streaming subscription service with a community of more than 615 million users. We are looking for an outstanding Data Scientist to join our Content Analytics team to drive insights and learning around our growing Audiobooks format.
What You'll Do
- Perform analyses on large sets of data to extract actionable insights that will drive decisions for our audiobook partner teams across Licensing, Growth, and Editorial.
- Develop new, localized reporting layers for regional audiobook teams.
- Engineer novel data sets, features, and reports that shed a new light on the dynamics of how users engage with audiobooks and capture emerging content trends in markets.
- Craft high impact presentations and communicate data-driven insights and recommendations to various audiences, through clear visualizations and data storytelling.
- Partner with other data scientists and non-technical collaborators to develop and expand learning agendas for new regions.
Who You Are
- 3+ years of proven experience analyzing complex data with SQL, Python, and/or R.
- You have a degree or equivalent experience in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics.
- Previous experience with book publishing industry and/or consumer-facing digital apps preferred; experience in media, entertainment, or technology is also highly valued.
- You are curious and not afraid of exploring new domains; you enjoy partnering with others to define and develop new opportunities.
- You are a natural communicator; you focus on how you deliver your findings as much as on the technical aspects of uncovering insights.
- Experience building data visualizations and dashboards (Tableau or similar BI solutions).
- Modeling and statistical knowledge, such as forecasting, A/B testing, or feature engineering for machine learning, is a plus.
- Experience creating and scheduling datasets is a plus.
Where You'll Be
This role will be based in London.
Data Scientist - Audiobook Content Analytics employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Audiobook Content Analytics
✨Tip Number 1
Familiarise yourself with the audiobook industry and current trends. Understanding the market dynamics and user engagement patterns will help you stand out during discussions and interviews.
✨Tip Number 2
Brush up on your SQL, Python, and R skills. Being able to demonstrate your technical proficiency in these languages through practical examples or projects can significantly boost your chances.
✨Tip Number 3
Prepare to showcase your data visualisation skills. Create a portfolio of dashboards or reports that highlight your ability to communicate insights effectively, as this is crucial for the role.
✨Tip Number 4
Network with professionals in the audiobook and data science fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Scientist - Audiobook Content Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with SQL, Python, and R. Emphasise any work you've done in the audiobook or publishing industry, as well as your skills in data visualisation and storytelling.
Craft a Compelling Cover Letter: In your cover letter, express your passion for audiobooks and how your background aligns with the role. Mention specific projects where you've driven insights from data and how you can contribute to Spotify's Content Analytics team.
Showcase Your Technical Skills: Include examples of your technical skills in your application. If you've built dashboards or performed A/B testing, describe these experiences clearly. Highlight any relevant projects that demonstrate your ability to analyse complex data sets.
Prepare for Data Storytelling: Since communication is key for this role, prepare to discuss how you've effectively communicated data-driven insights in the past. Think about how you can present your findings visually and narratively to different audiences.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and R in detail. Bring examples of past projects where you analysed complex data sets and highlight the specific tools and techniques you used.
✨Demonstrate Your Communication Skills
Since the role involves crafting presentations and communicating insights, practice explaining your findings clearly and concisely. Use data storytelling techniques to make your points engaging and relatable.
✨Familiarise Yourself with Audiobook Trends
Research current trends in the audiobook industry and be ready to discuss how they might impact Spotify's content strategy. Showing that you understand the market will demonstrate your genuine interest in the role.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially with non-technical partners. Think of examples where you've successfully worked with others to achieve a common goal, particularly in data-driven projects.
