Mojang Studios is best known as the creators of Minecraft, but we’re also on a mission – to build a better world through the power of play.
Why play? Well, play is at the heart of everything we do. It’s the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.
As a data analyst in the Player and Data Insights team, you will be responsible for analysing product and player behaviour within Minecraft. You will work with big data to uncover actionable insights about our games and business and work directly with the game team to establish BI reporting, tracking, and insights. You will be the lead voice for the analysis of the intersection live services, gameplay, and player engagement.

REQUIRED QUALIFICATIONS

• 4-6 years of experience in product analytics
• Excellent statistical, analytical, and problem-solving skills
• Excellent verbal, visual and written communication skills
• Proficient with SQL, bonus if familiar with PySpark (Databricks)
• Proficient with statistical attribution techniques

PREFERRED QUALIFICATIONS

• Experience with guiding the work of a team
• Experience in analytics within gaming industry
• Passion for gaming and entertainment (and Minecraft!)

WHAT YOU NEED TO KNOW

We’re looking for candidates who are eligible to work in Sweden. Since our hybrid work model requires two onsite days per week, you’ll need to be based in Stockholm to collaborate with your team and soak up the studio energy.
We are happy to welcome international talent and talent outside Stockholm but will not be able to financially support you relocation. If you are located out of Stockholm relocation is a must.

• Query and analyse big data to uncover high-value insights with direct impact to the Minecraft Gameplay strategy.
• Partner closely with game development teams in designing telemetry events to better understand product.
• Lead insights projects that guide decisions on product and feature roadmaps, using a variety of data including primary research and survey data.
• Brainstorm with stakeholders to direct ambiguous questions or misleading metrics into impactful analysis plans.
• Lead telemetry, KPI, and reporting efforts.