Senior Data Analyst

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.

• 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.

• 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.

• 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.

Most of our teams are hybrids with some members co-located in offices and some working remotely. For this role you can work remote

within Sweden, or based out of our central Stockholm office.

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.