Data Scientist, Company Planning & Execution

Spotify; Stockholms kommun; Hybrid; SEK 1,180,000 - 1,835,000; Full time

Job summary

Spotify is seeking a data-driven analytics professional for its Company Planning and Execution (CPE) team in London or Stockholm. You will formulate hypotheses, apply statistical models, and build data models, pipelines, and dashboards to illuminate how Spotify plans and delivers at scale.

You turn messy datasets into clear narratives for non-technical audiences, collaborating with stakeholders across levels.

Qualifications

• Curious about how organisations work and the decisions behind data
• 5+ years of experience with a quantitative background in science, economics, engineering, or related field
• Strong interpersonal skills and ability to work with multiple stakeholders across levels
• Able to turn messy datasets into clear recommendations for non-technical audiences

Responsibilities

• Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to audiences
• Apply analytical techniques, including statistical models and machine learning, to identify trends
• Build and maintain data models, pipelines, and dashboards that provide visibility into planning and execution
• Develop narratives and recommendations in Planning and Execution Insight reports and briefings
• Explore how AI and automation can speed up insights and accessibility across the company

Skills

SQL

Python

BigQuery

dbt

Tableau

Looker

Tools

BigQuery

dbt

Tableau

Looker

Job description

How does a company with thousands of people building hundreds of products stay focused on what matters most? That's the question the Company Planning and Execution (CPE) team works on every day. We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale.

What You’ll Do

• Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences.
• Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work.
• Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes.
• Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring briefings.
• Explore how AI and automation can make insights faster to produce and easier to access across the company.

Who You Are

• Curious about how organisations work — not just the data, but the decisions and systems behind it.
• 5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
• Strong interpersonal skills and comfortable working with multiple stakeholders across levels and functions.
• Able to take messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences.
• Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker.
• Experience with operational or work management data is a plus.

Where You’ll Be

• This role is based in London or Stockholm.
• We offer you the flexibility to work where you work best, with 2–3 days per week in the office.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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