Analytics Engineer II - User Platform
Analytics Engineer II - User Platform

Analytics Engineer II - User Platform

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Define and optimise data structures for user access and identity management insights.
  • Company: Join Spotify, the world’s leading audio streaming service with a focus on innovation.
  • Benefits: Flexible work options, inclusive culture, and opportunities for professional growth.
  • Why this job: Make a real impact on user experience for over 700 million users globally.
  • Qualifications: Experience in SQL, Python, and data product development is essential.
  • Other info: Collaborative environment with a strong emphasis on inclusivity and support.

The predicted salary is between 36000 - 60000 ÂŁ per year.

User Platform (UP) is a studio in Spotify’s Platform mission. UP owns the platforms for authentication, authorization, user account data, and user experience configuration at Spotify. UP was formed with the mission to provide a secure platform that helps users establish their identities and manage their account data on different surfaces. UP also enables teams around Spotify to experiment on and customize the user experience in new and more refined ways. User Platform is responsible for many of the core services needed for Spotify to function and provide 700M+ users across the world access to the audio experience they desire.

We are looking for a talented, engaged data analytics engineer to help our teams working on building foundational data infrastructure for user access and identity management insights. We aim to enable teams to identify user friction, accurately measure conversions, and continuously optimize the initial Spotify experience.

What You’ll Do

  • Define and optimize the IAM Domain Data Schema to ensure the most efficient and scalable data structure, addressing gaps and proposing improvements to support the domain's needs.
  • Collaborate with Engineering Teams to set event instrumentation requirements and ensure the collection of accurate and actionable data.
  • Lead long‑term internal initiatives focused on data infrastructure, quality, technical health, and promoting data‑informed decision‑making and new ways of working across the organization.
  • Guide engineering teams in developing cohesive data models that unify disparate data sources, creating an ecosystem of analysis‑friendly datasets for research and analytics.
  • Design, implement, and maintain high‑quality datasets and data pipelines using DBT, Python and SQL on BigQuery and GCS.
  • Collaborate closely with engineers, data scientists, and team leads across the mission to design and promote shared methodologies for data‑informed decisions within R&D.

Who You Are

  • You have a track record of experience in the development of data products (using SQL and/or Python).
  • You have a track record of taking open‑ended analytics goals and translating them into production‑quality datasets.
  • You are knowledgeable in data modeling, data access and data storage techniques.
  • You are comfortable stepping through ETL processes and tracing data flows through DAGs and you are experienced with DBT or other similar tools.
  • You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake). Experience with GCP tooling is a plus.
  • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
  • You are able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high‑level direction.
  • Improve data quality through testing, tooling and continuously evaluating performance.

Where You’ll Be

This role is based in London or Stockholm. 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.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Analytics Engineer II - User Platform employer: Spotify

Spotify is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for talented individuals to thrive. With flexible working arrangements in vibrant locations like London and Stockholm, employees benefit from a collaborative environment that encourages personal growth and the sharing of diverse perspectives. At Spotify, you will have the opportunity to work on impactful projects that shape the audio experience for over 700 million users worldwide, all while being supported in your professional development and well-being.
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Contact Detail:

Spotify Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer II - User Platform

✨Tip Number 1

Network like a pro! Reach out to folks in your field on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your data projects. This gives potential employers a taste of what you can do beyond your CV.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Spotify.

We think you need these skills to ace Analytics Engineer II - User Platform

Data Analytics
SQL
Python
Data Modelling
ETL Processes
DBT
BigQuery
GCP Tooling
Data Quality Improvement
Data Infrastructure Development
Collaboration Skills
Mentoring
Problem-Solving
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer II role. Highlight your experience with SQL, Python, and data modelling, as these are key skills we're looking for. Show us how your past work aligns with our mission at User Platform!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our team. Don't forget to mention any relevant projects or experiences that demonstrate your skills.

Showcase Your Projects: If you've worked on any data products or analytics projects, make sure to showcase them in your application. We love seeing real examples of your work, especially if they involve building datasets or optimising data structures!

Apply Through Our Website: We encourage you to apply through our website for the best experience. It helps us keep track of your application and ensures you get all the updates. Plus, it's super easy to do!

How to prepare for a job interview at Spotify

✨Know Your Data Tools

Make sure you brush up on your SQL and Python skills, as well as your experience with DBT and cloud data warehouses like BigQuery. Be ready to discuss specific projects where you've used these tools to create production-quality datasets.

✨Understand the User Platform Mission

Familiarise yourself with Spotify's User Platform mission and how it impacts user experience. Think about how your role as an Analytics Engineer II can contribute to optimising user identity management and enhancing the overall user experience.

✨Prepare for Collaboration Questions

Since this role involves working closely with engineering teams and data scientists, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and any mentoring experiences you've had.

✨Showcase Problem-Solving Skills

Be ready to discuss how you've tackled open-ended analytics goals and turned them into actionable insights. Think of specific challenges you've faced in data modelling or ETL processes and how you overcame them.

Analytics Engineer II - User Platform
Spotify

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