Senior Data Analyst
Acast AB (publ) · Stockholm · Tills vidare · Deadline 2026-10-25
Acast AB (publ) is seeking a **Senior Data Analyst** to join its BI team. Serving as a dedicated data partner for Finance, Product, Sales, and Content Managers, the position spans full-stack data work from raw data to consumption-ready dashboards. Responsibilities center on owning and evolving core reporting infrastructure and data models in dbt and Omni across podcast consumption, revenue, payouts, and product analytics metrics. The role involves **building agentic analytics foundations** to enable AI agents in Omni to answer real-time stakeholder questions, identifying risks in payout and platform metrics early, and working closely with Analytics Engineers, Data Engineers, developers, and Product Managers to align metrics definitions. Applicants must possess **strong SQL and dbt skills**, proficiency with BI tools such as Omni, and experience accelerating analytics development using AI tools like Cursor or Claude. Candidates need a proven ability to translate complex business logic into robust, maintainable data models alongside clear metrics definitions. Effective communication, active listening, and the ability to manage multiple stakeholder relationships simultaneously across commercial and technical teams are essential.
About Acast
Since 2014, Acast has been building the world’s most valuable podcast marketplace, creating the technology that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens. Crucially, those listens are monetized wherever they happen—across any podcast app or listening platform.
About the role
We're looking for a Senior Data Analyst to join our BI team as the trusted data partner for Finance, Product, Sales, and Content Managers who work day-to-day with our podcasters. This role puts you at the forefront of agentic analytics, building the foundation that empowers AI agents to help stakeholders directly query and navigate complex data on their own. Spanning full-stack data work from raw data to consumption-ready dashboards, the position is as much about people and clear context as it is about data, so you'll spend as much time listening, clarifying, and building trust as you will building models.
The best person for this role is someone who genuinely enjoys sitting with a stakeholder's half-formed question, working out what they're really asking, and bringing back an answer that makes their decision easier. You'll care as much about how something lands with the person asking as about whether the number is right.
What you'll do
- Be the first person Finance, Product, Sales, and Content Managers turn to when they have a data question they can't quite put into words yet, and help them find the words.
- Own and evolve our core reporting infrastructure and data models in dbt and Omni across podcast consumption, listens, views, revenue, payout, and product analytics metrics - structuring underlying business logic so AI agents in Omni can reliably answer stakeholder questions in real time.
- Build and maintain dashboards that people actually understand and want to use, not just ones that are technically correct.
- Notice patterns and risks in payout, platform, and podcast consumption metrics before they become someone else's problem, and flag them early and clearly.
- Support Content Managers and Product teams with the data behind podcast consumption analysis, covering listens and views metrics as well as performance trends and payout questions, and help Sales understand what the numbers mean for their conversations with advertisers.
- Support teammates by explaining your thinking, documenting decisions, and making it easy for others to pick up where you left off.
- Collaborate closely with Analytics Engineers, Data Engineers, developers, and Product Managers to ensure consistency across data models, metrics, and definitions.
Who you are
- Someone who listens well and asks good follow-up questions before jumping to a solution.
- Strong SQL and dbt skills, proficiency in BI tools like Omni, and experience accelerating analytics development using AI tools such as Cursor or Claude.
- A steady, careful approach to data that people can rely on — especially where finance and payouts are involved.
- Comfort holding several relationships at once — Finance, Product, Sales, and Content — without losing warmth or clarity under pressure.
- A collaborative, generous way of working: sharing context, mentoring where helpful, and making the people around you better at their jobs too.
- Proven ability to translate complex business logic into robust, maintainable data models and clear metrics definitions.
Culture
Acast is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, gender, sexual orientation, religion, ethnicity, national origin or any of the other wonderful characteristics that make us different.
Culture is our number one priority as a business. We believe people come first, and we work every day to enable autonomy, continuous improvement and bring out the best in people. We’re global and have remote teams, so it’s even more important that we strive for an open, inclusive and caring environment where everyone feels visible and welcome.
We consider ourselves a modern organization driven by strong values to create the best, most fulfilling and nurturing culture.
We very much look forward to finding the next great person to join our cause!