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About the Role

The Podcast & Video Analytics team partners with various Spotify teams to enhance creator experiences through data-driven insights. The team's mission is to empower strategic decision-making by analyzing audience behavior, content performance, and consumption trends in podcast and video formats, utilizing AI and advanced modeling.

Responsibilities

• 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.

Requirements

• Proficient in Python and SQL.
• 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.
• 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.
• Passionate about podcasts, video, and creator-driven content.
• Previous experience in audio, video, or broader creative industries is an advantage.
• Based in New York and comfortable working with crossover into other US and European timezones regularly.

Skills

• Python
• SQL
• AI coding tools
• Data visualisations
• Dashboards
• AI-assisted charting
• Code-driven charting
• D3.js
• A/B testing
• Statistical modelling
• AI
• LLMs
• Data storytelling

Location

• New York

Work Type

• Hybrid

Experience Level

• 1+ years of relevant experience performing data analysis or data science.

Education Level

• Degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, or Economics.

Salary/Compensations

• $108,097 - $135,121 a year

About the Company

• Spotify's Content Analytics organisation 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.