Senior Data Analyst

Acast; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Acast is seeking a Senior Data Analyst to join the BI team as the trusted data partner for Finance, Product, Sales, and Content Managers who work day-to-day with our podcasters. This role spans full-stack data work from raw data to dashboards, with emphasis on clear context and stakeholder trust.

You'll work with Analytics Engineers, Data Engineers, developers, and Product Managers to ensure consistent metrics and definitions, delivering dashboards people actually understand and use.

Qualifications

• Strong SQL and dbt skills are required.
• Proficiency with BI tools such as Omni.
• Experience accelerating analytics development using AI tools.
• Ability to translate business questions into robust data models.

Responsibilities

• Be the first point of contact for data questions from Finance, Product, Sales and Content.
• Own and evolve core reporting infrastructure and data models in dbt and Omni across metrics.
• Build and maintain dashboards that are easy to understand and use.
• Notice patterns and risks in payout, platform and podcast metrics and flag them early.
• Support Content Managers and Product with data behind usage, trends and payouts; assist Sales with advertiser data.
• Explain thinking, document decisions, and make it easy for others to pick up where you left off.
• Collaborate with Analytics Engineers, Data Engineers, developers, and Product Managers to ensure consistency.

Skills

SQL

dbt

BI tools

AI tools

Tools

Omni

Cursor

Claude

dbt

Job description

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!