Analytics Engineer, podimo
Open podcast platform
Posted today
Open podcast platform
201-500 employees
Posted today
201-500 employees
Company mission
To enrich life through listening.
Role
Who you are
- You take pride in building and maintaining high-quality data solutions and are motivated by creating real impact through data.
- You are comfortable working in fast-paced environments and thrive on collaborating with colleagues from across the business
- You enjoy solving problems, taking ownership, and continuously improving the systems and solutions you work with
- A few years (1-3) of experience working in BI, data or analytics engineering, preferably in a fast-paced environment
- Strong experience with SQL, dbt, BigQuery, Git, and data visualisation tools (e.g. Looker)
- A good understanding of data modelling and a solid grasp of data warehousing principles
- Experience writing dbt tests and unit tests, with a strong focus on data quality and validating results before delivery
- Experience with data models explicitly architected for self-serve and AI access: structured, documented, and reliable enough for business teams, conversational analytics tools, and AI features to consume autonomously
- A collaborative mindset and a passion for continuous improvement and learning
- Excellent written and verbal communication skills in English
- Experience working closely with business stakeholders to understand their needs and translate them into effective data solutions
- Experience with Python and/or Airflow for scripting and workflow orchestration (a plus, but not required)
- Naturally, being passionate about podcasts, audio content, and entertainment is a big plus!
What the job involves
- In this role, you’ll join our BI team, which is responsible for developing and maintaining our company-wide data platform. The team works across the entire organisation to enable data-driven decision-making and automation at scale
- You will be collaborating with business teams, analytics engineers, and data engineers to bring scalable, reliable, and efficient data models, BI interfaces, and self-service solutions to life, while making our data AI-ready and enabling the adoption of AI-powered analytics
- Work closely with business teams, data analysts, and AI engineers to understand their needs and translate those into effective data solutions
- Utilize dbt, SQL, BigQuery, and Looker/LookML to transform and model both new and existing data sources
- Develop and maintain dashboards, reports, and self-service tools that enable business stakeholders to gain insights and make data-driven decisions
- Drive AI-assisted workflows within the AE function, including agentic development and LLM context management for the dbt repository
- Build and maintain a robust semantic layer with clear metric definitions and documentation to enable reliable AI-powered analytics
- Optimize warehouse efficiency by managing BigQuery costs and implementing effective partitioning and incremental processing strategies
- Provide data modeling expertise to additional team and department members through code reviews and pairing to help deliver optimal and scalable designs and queries
- Promote the adoption of AI solutions and interfaces by educating business users and data developers on their usage
Application process
- First, please submit a tailored resume that highlights relevant experience. Sharing a cover letter is appreciated, but not expected
- If we pick your application to continue to the interview stage, this is how we plan to run the interview process:
- An initial conversation with a recruiter to set expectations
- A collaborative case discussion with two stakeholders from the team
- An interview with our Chief Finance Officer
- We might tweak the process to keep things smooth and enjoyable. We'll be conducting interviews continuously, aiming for a start date on January 1 2027
- We are looking forward to hearing from you!
Our take
Podcasting and audiobook listening has exploded in popularity, with the flexibility of listening while doing other activities driving much of this market growth. Podimo is a podcast and audiobook platform taking the Nordic Countries by storm with its service.
The company boasts a close connection with the creators on its platform, which is appealing because other sites have been infamous for treating creators poorly. For example, Podimo's revenue-share model is not based on the size of a creator's following - which makes it particularly attractive to newer podcasters.
Despite large rivals like Apple, Spotify, and Google, Podimo has been standing its ground, and was named the fastest-growing podcast service in Finland. It has secured good funding and made some acquisitions over the years. It also impressively surpassed 1 million paying subscribers in 2025, in only its fifth year of operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2023
$49.7m
LATE VC
Sep 2022
$59.1m
SERIES B
Total funding: $223.2m
Company benefits
- Parental Leave: Up to six months of fully paid parental leave for all new parents
- Equity Participation: All employees have the opportunity to benefit from company growth through our Employee Stock Ownership Plan (ESOP)
- Supportive Culture: Unlimited child sick days, free online therapy sessions, and a collaborative, high-performing environment
- Flexibility & Well-being: Flexible hours and remote work options to support work-life balance
- Performance, Learning & Development: Access to resources to help you thrive and build your career within a high-growth, dynamic company
Company HQ
Vesterbro øst, København
Leadership
Morten Strunge
(CEO & Co-Founder)Experienced CEO, Investor and Founder. Founded and CEO at Mofibo among others, more recently worked as CCO at Storytel AB and Co-founded Winefamly.
Eva Kirstine Lægdsgaard
(Chief People & Culture Officer, Co-Founder)Worked as Project Manager at Last.fm and has held several roles at Spotify including Director, Artist & Label Services Nordics.
Andreas Sachse
(CXO & Co-Founder)Serial Entrepreneur, co-founded several companies including BASTARD and Plenti. More recently acted as Chief Data Officer at Too Good To Go.
Sverre Dueholm
(Co-Founder)Serial Entrepreneur, previously co-founder and CEO of WakieWakie and now Comundo.
Nikolaj Koppel
(Director of Content & Co-Founder)Previously Vice President of Tivoli, sits on several boards including Member of the Advisory Board at TEDxCopenhagen.
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