The Podcast & Video Analytics team sits within Spotify’s Content Analytics organisation and partners closely with Podcast, Video, Product, Engineering, and Content teams to shape the future of creator-driven experiences on Spotify. The team's mission is to empower strategic decision-making through world-class analytics, helping Spotify better understand audience behaviour, content performance, and emerging consumption trends across podcast and video formats.
Operating at the intersection of data science, content strategy, and technology, the team develops scalable measurement frameworks, uncovers actionable insights, and pioneers new analytical approaches using AI and advanced modelling techniques. By translating complex data into compelling narratives and practical recommendations, the team helps ensure Spotify continues to innovate and lead in the rapidly evolving Podcast & Video landscape.
What You'll do
- Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research and insights that shape long-term, data-driven programming and product roadmaps.
- Identify emerging trends in podcast listening and video consumption, pinpointing opportunities in priority markets to keep Spotify’s Podcast & Video strategy ahead of the curve.
- Transform complex data into scalable, actionable playbooks that empower global content and product teams to execute high-impact strategies.
- Design measurement frameworks using causal inference, experimentation, and modelling to quantify the incremental impact of Podcast & Video content and product decisions.
- Build and iterate on AI-powered dashboards and data visualisations that make Podcast & Video data more accessible and intuitive for stakeholders across the business.
- Leverage AI tooling, including LLMs and agentic coding assistants, to automate analytical workflows, accelerate insight generation, and explore new frontiers in data storytelling.
- Synthesise data findings into compelling narratives that drive alignment across Product, Engineering, and Content stakeholders.
- Gather stakeholder input to understand and translate their needs into clear data requirements and deliverables, supporting documentation, and knowledge sharing across the team.
Who You Are
- You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, or Economics.
- You have 1+ years of relevant experience performing data analysis or data science. In particular:
- You are proficient in Python and SQL and an early adopter of AI coding tools such as Cursor, Claude, Codex, or GitHub Copilot.
- Experience building data visualisations and dashboards; familiarity with AI-assisted or code-driven charting approaches (e.g. D3.js) is a plus.
- Experience with A/B testing and statistical modelling.
- A demonstrated track record of integrating AI and LLM tools into your data science workflow, whether for analysis, automating repeatable tasks, or building intelligent data products.
- You are a confident communicator who can ground subjective, creative discussions in objective data.
- A storyteller who creates value for the business by translating data into actionable strategy.
- You are passionate about podcasts, video, and creator-driven content. Previous experience in audio, video, or broader creative industries is an advantage.
- You are based in New York and comfortable working with crossover into other US and European timezones regularly.
Where You'll Be
This role is based in New York.
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.
Skills Required
- Degree in Computer Science, Engineering, Mathematics, Statistics, or Economics
- 1+ years of relevant data analysis or data science experience
- Proficiency in Python
- Proficiency in SQL
- Experience with A/B testing and statistical modelling
- Demonstrated experience integrating AI and LLM tools into data science workflows
- Proficiency or early-adoption experience with AI coding assistants (Cursor, Claude, Codex, GitHub Copilot)
- Experience building data visualizations and dashboards
- Familiarity with code-driven charting approaches (e.g., D3.js)
- Strong communication and storytelling skills to translate data into strategy
- Passion or prior experience in podcasts, video, or creative industries
- Based in New York and able to work across US and European timezones with some in-person meetings
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
