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Kinguin is hiring a data analytics professional to advance BI and AI-driven decision making. You will build dashboards, data models, and pipelines using SQL, Looker, and Google Cloud, translating business needs into AI-supported solutions.
Ideal candidates have 2+ years in Data Analytics or BI, strong SQL and data modeling skills, and the ability to communicate with non-technical stakeholders. Remote work with occasional travel to Warsaw is offered.
Kinguin, founded in 2013, has quickly grown to become a major player in the digital entertainment marketplace with 20 million users worldwide. We offer a wide range of digital products, including video games and computer software, and have been a pioneer in supporting the esports industry through sponsorships of tournaments, events, and organisations. At Kinguin, we are committed to innovation and pushing the boundaries of what's possible in gaming. Our team is made up of people from diverse backgrounds and skill sets, all united by their love of gaming and desire to create the best possible platform for our customers.
If you value having Passion, Care & Impact in your daily work, you will fit great in our team! You can read more about our values and work here .
Let's shape the future together and make gaming accessible and inclusive for everyone!
Support Kinguin in becoming a more data-driven and AI-enabled company by identifying and delivering BI and AI use cases.
Build and improve BI solutions, dashboards, data models, and pipelines using SQL, Looker, and GCP.
Analyze data to identify actionable business insights, trends, and opportunities.
Explore and implement LLMs, AI agents, and automation to improve reporting and business processes.
Develop AI-assisted workflows for forecasting, anomaly detection, reporting, and insight generation.
Work closely with business and technical teams to turn requirements into scalable analytical and AI solutions.
Evaluate AI outputs for accuracy, quality, and business value, while considering privacy, security, and other AI-related risks.
2+ years of experience in Data Analytics, BI, or a similar role.
Strong knowledge of SQL, data modeling, data analysis, and data quality.
Experience with BI/data visualization tools, ideally Looker and/or Google Cloud.
Practical understanding of LLMs, AI agents, and AI-enabled analytics or automation.
Ability to translate business needs into data-driven and AI-supported solutions.
Strong analytical, communication, and business skills.
Ability to explain technical concepts clearly to non-technical stakeholders.
Bachelor’s degree in a relevant field or equivalent practical experience.