DoubleDown Interactive LLC Innovation & Technology Culture

What’s it like to work on the data and analytics team at DoubleDown Interactive LLC?

Working with data at DDI is a great experience because there are continuous new projects to work on. As each new third party is brought into partnership, our team has a new puzzle to figure out and new obstacles to overcome. It keeps things interesting and avoids the staleness that other areas of study eventually get. Our team works closely to tackle these challenges together and is very tightly knit so that we can collectively solve the technical tasks that come our way. This also means that when one member is facing challenges, the others are able to jump right in and help without worrying about siloed knowledge.

What tools, systems or processes help your team deliver useful insights?

On our team, we’re big fans of Amazon’s infrastructure, particularly their Redshift database, which we use to store and access big data without being held back by storage and access speed limits. We also love working with and contributing back to open-source software where appropriate. One such product is Apache Airflow, which we use to coordinate all of our Extract > Transform > Load processes and keep data continuously flowing to our stakeholders reliably. Another open-source tool we use is Redash, which allows non-tech experts to still jump in and use data prepared by our engineers to drive their own insights and team goals.

How does your team partner with stakeholders to turn data into action?

Our stakeholders drive the core of our work on this team, and every improvement we make to the data or infrastructure is ultimately driving toward ‘Does this change help our other teams get the data they need?’ The process starts with just being very present in the day to day of what our stakeholders are working on so we can fully understand what’s important to them, so when they come to us asking for help, we already have a level of understanding. We also make sure to sit down with our team’s partners and really understand the underlying goals of their needs so that when we do deliver to them, we can make sure to get it right as early as possible and deliver value right away with less need for iteration. Ultimately, when iteration is needed, we keep continuous communication open through the iterations to ensure that each change is delivering more value each time and is not a setback.