Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль в известной игровой продуктовой компании сочетает аналитику игроков с работой над инфраструктурой данных, хотя обязанности охватывают и аналитику, и data engineering.
?Широкий профиль
Актуальные технологии
Развитый продукт
Бюджет на развитие
Гибкий график
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (AI/SQL): Building and improving player-data pipelines, models, dashboards, and analytics infrastructure for mobile games with an accent on data quality, scalable modelling, and AI-assisted workflows. Focus on analysing player behaviour, optimizing game economies, and developing reliable metrics for engagement, retention, and monetisation.
Location: Stockholm, Sweden; hybrid work
Company
hirify.global is a mobile game developer and publisher creating casual games with more than 350 million downloads globally.
What you will do
Collaborate with product teams and developers on in-game tracking, backend data collection, data quality, and reliable flows into analytics.
Design, maintain, and improve data pipelines, scalable data models, dashboards, and reports using SQL and dbt.
Connect product teams, game developers, and data engineers to clarify and implement data requirements.
Apply AI tools to improve workflows, automate processes, and make data analysis more efficient; research new technologies and approaches.
Analyse player behaviour, optimise game economies, and identify opportunities to improve engagement, retention, and monetisation.
Manage multiple projects and resolve tracking, data quality, and modelling issues in a fast-paced environment.
Requirements
Bachelor’s or Master’s degree in Engineering Mathematics, Physics, Computer Science, or an equivalent field.
Strong analytical, problem-solving, and communication skills with great attention to detail.
Good understanding of data infrastructure, including tracking, backend systems, data pipelines, modelling, and analytics.
Experience with data models, pipelines, reporting, or visualisation tools.
Excellent SQL skills and experience working with large, complex datasets.
Daily use of AI tools such as Claude, ChatGPT, and CODEX for mathematics, code, data workflows, automation, and analysis.
Curiosity and drive to discover underlying explanations.
Nice to have
Proficiency in Python, R, or other relevant scripting languages.
Familiarity with dbt, Airflow, or similar data engineering tools.
Experience with AI-powered tools, advanced statistical modelling, predictive analytics, or machine learning.
Experience with Tableau, Looker, or Power BI; Tableau is used at MAG.
Understanding of mobile game or app KPIs and interest in player behaviour.
Culture & Benefits
Hybrid work with flexible hours.
Company bonus, mobile phone and contract, pension, and private health insurance.
Gym allowance, learning and development budget, enhanced parental leave, and free Swedish lessons.
Seasonal kick-offs, monthly after-work events, and company-wide carbon-offsetting and CSR initiatives.
Collaborative, open, positive, and trusting environment with an emphasis on inclusion and bias-free recruitment.
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