Senior Game Analyst - Games

Netflix
Helsinki,FinlandPosted 26 March 2026

Job Description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Who we are From games on TV to mobile and web, Next Games develops approachable games to entertain a diverse, global audience. We design games that Netflix members can enjoy every day as part of their subscription. Our games released on Netflix to date include TV games Boggle Party, Pictionary Game Night, Party Crashers: Fool Your Friends, and Underwatermelon, as well as Netflix Puzzled, available on mobile devices and on tudum.com. We proudly combine our Finnish game development culture with Netflix's global entertainment culture, embracing the strengths of both and empowering our talented and diverse teams to deliver their best work yet. The Role We are looking for a Senior Game Analyst / Analytics Engineer for our Business Intelligence team working in Helsinki, Finland. You will work as an embedded analyst in our Cloud Games, providing scalable data infrastructure, products and solutions to our teams building local cooperative and competitive party games for cloud streaming and multiple device play. We hope you are excited about using data to help guide strategic decision-making and the design and creation of great games. We are looking for someone with both prior experience with, as well as passion for in-game analytics, and the technical expertise for building the infrastructure and tooling required for this. You will work in close collaboration with our experienced Game Analysts, Data Scientists and Data Engineers, in addition to our colleagues in the wider Netflix Games DSE organization to provide insights and tooling to scale data-driven decision making at the Next Games studio and across Netflix Games. Responsibilities Building and maintaining robust, reliable data pipelines Proactively identifying and performing data exploration and deep dives to influence future product directions Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis Learn and work with Netflix’ expansive internal tools and platforms. Building strong relationships with our various cross-functional stakeholders to help unearth data-based solutions to their challenges Connecting and networking with the wider analytics community at Netflix Acting as a mentor for more junior team members to aid with their career development and help level up the BI team Requirements Extensive experience in a general data analysis language such as SQL and Python/R, with fluency in at least one Experience with traditional BI tools such as Tableau, Looker, and Periscope Experience with data modeling, schema design, and designing and building robust data pipelines with workflow orchestration tools like Apache Airflow Experienced in building strong stakeholder relationships and addressing cross-functional challenges A collaborative and team-oriented mindset Ability to give and take feedback Great communication skills in English Appreciated, but not hard requirements A degree (BS/MS/PhD) in a relevant field (Engineering, Computer Science, etc.) helps us assess your skills. But if you have the skills without a degree in a relevant area, we’d still love to hear from you. Prior experience with similar work in the game industry Prior experience with mentoring other team members or leading small teams Ability to build visualizations using JavaScript / React and frameworks like D3, or an appetite to learn these if no prior experience Experience with building web apps and frameworks such as Plotly Dash is a plus We're eager to hear from you if you're passionate about creating innovative mobile and cloud games in a fun, supportive environment! Does this op ... (truncated, view full listing at source)
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