About Acast
Acast builds a podcast marketplace that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens, monetized across podcast apps and listening platforms.
Responsibilities
•Act as the first point of contact for Finance, Product, Sales, and Content Managers with data questions, helping clarify what they need
•Own and evolve core reporting infrastructure and data models in dbt and Omni across podcast consumption, listens, views, revenue, payout, and product analytics metrics, structuring business logic so AI agents in Omni can answer stakeholder questions reliably in real time
•Build and maintain clear, useful dashboards
•Identify patterns and risks in payout, platform, and podcast consumption metrics, and flag them early
•Support Content Managers and Product teams with podcast consumption analysis, including listens and views metrics, performance trends, and payout questions
•Help Sales understand what the numbers mean for conversations with advertisers
•Explain analytical thinking, document decisions, and help teammates continue the work
•Collaborate with Analytics Engineers, Data Engineers, developers, and Product Managers to ensure consistency across data models, metrics, and definitions
Requirements
•Listen well and ask follow-up questions before proposing solutions
•Have strong SQL and dbt skills and proficiency in BI tools such as Omni
•Have experience accelerating analytics development using AI tools such as Cursor or Claude
•Take a careful, reliable approach to data, especially finance and payouts
•Manage relationships with Finance, Product, Sales, and Content while maintaining clarity under pressure
•Work collaboratively, share context, and mentor others where helpful
•Translate complex business logic into robust, maintainable data models and clear metric definitions
Location
Stockholm
