About the role
Senior Data Analyst Location: Tokyo
About us: Deep expertise. Personal and Industry evolution. Impeccable craft. These are Limit Break’s founding principles. Limit Break is founded by global industry leaders in mobile gaming. We are unlocking its potential beyond games to transform digital markets into real-world economies and digital worlds into vibrant communities who will take gaming economies for both players and traders to new limits. We combine the power of technology, and creative vision to create experiences that connect people from all corners of the globe. Limit Break is backed by leading investors that include Buckley Ventures & Paradigm Ventures. The adoption rate and a number of public and private partnerships is proving it to be the next wave of technology of the future and Gaming is leading the way.
About
the Role: Limit Break is looking for a Senior Data Analyst-To join our team. The Data Engineering team builds core data infrastructure and applications in support of all areas of our business, including our studio teams, analytics, user acquisition, monetization, and finance. We are passionate about maximizing the value that data and analytics can provide to the business and are aggressively investing in new capabilities. Our team covers a lot of ground from real-time data ingestion through to scalable data pipelines.
Responsibilities: As a key member of the Data Engineering team, you will take ownership of data and you will work closely with Data Pipeline Engineers as well as stakeholders in Live Operations and Marketing to build tools, analytics and dashboards that are used to make critical business decisions. You will get the opportunity to work with rich data that is being ingested from multiple data sources in real-time. You will also work with a high scalable tech stack that includes Kafka, Imply Druid, EMR, Trino and Airflow.
Requirements:
Who you are and what you’ve done 5+ years software engineering experience, especially working on data science and engineering projects. 3+ years of data engineering experience, especially working on data analytics, creating dashboards. Experience with Druid, Trino / Presto, Hive, Kafka and Superset. Experience with workflow orchestration tools such as Airflow. Experience with SQL and SQL-like languages. Proficiency with at least one of the following languages: Python, Scala, R. Proficiency in writing well-tested code, including unit-testing, integration testing and end-to-end testing