Acast was founded in 2014 and is the world’s largest independent podcast company.
A pioneer in the open podcast ecosystem, Acast’s powerful podcast monetization marketplace delivers for
creators and advertisers alike. Advertisers can efficiently target an engaged audience of listeners through
dynamic ad insertion, while podcasters are given access to a range of monetization opportunities — including
paid subscriptions through Acast+ — and the necessary tools to expand their listener base.
If you listen to a podcast hosted with Acast and hear an ad, it’s Acast delivering that audio behind the scenes
— and sharing revenue with the podcaster.
The company has a global footprint across 12 countries and, during 2021, had 3.75 billion listens on Acast-
connected podcasts. Today, Acast hosts 40,000 shows. Acast’s headquarters are located in Stockholm,
Sweden and the Company has nine local subsidiaries in the UK, US, Australia, Norway, France, Germany,
Ireland, Mexico and Canada.
About the role
We are looking for an Analytics Engineer to join our Product Analytics team within our product and tech department.
The role empowers you with freedom for initiative and ownership, spanning across a large spectrum of areas. It starts from consolidating the data warehouse with scalable data pipelines, to implement anomaly detection systems for improving the data quality, to data mining and data science techniques to build insights. The insights will be used by the product teams to formulate hypothesis and new iterations of the products.
Who you are
•Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets
•Python and Java or Scala
•AWS cloud environment: Glue, Athena, Redshift
•Workflow management tools such as Airflow
•Pragmatic mindset and can reason around trade-offs on what to optimise for in your solutions
•Analytics skills and solution design
Nice to haves
•Product Analytics experience
•Cross-team collaboration and cross-functional team experience
•Looker or other BI tool experience
•Snowflake experience
If you do not have direct experience with either tool, no problem! We are happy to develop you in these areas. Success will be measured by the increase in the data products usage, new product development within the team, feasibility, and innovation.
Where you’ll be:
• Most of our teams are hybrids with some members co-located in offices and some working fully remote. With a remote-first way of working we want you to feel productive regardless of work location!
• Where in the world? For this role, it can be within the UK or Sweden
• Working hours? We want to avoid teams distributed over time zones, so this team will operate within the CET time zone for collaboration. This setup allows us for more flexibility and work-life balance.