
Analytisk ingenjör
Håll muspekaren över eller tryck på en rad för fullständig statistik (EUR / månad i detta diagram).
Löneanalys
Löneerbjudandet i den här annonsen jämfört med referensen "Marknadssnitt: Analytisk ingenjör": mittpunkten ligger cirka 91 % under referensnivån. Samtidigt ligger erbjudandet under marknadsintervallet (€3 787–€5 207). Intervallbredden är i stort sett i linje med marknaden. Referensen bygger på 1 jämförbara annonser.
| \n\n---\n\n Marknad | Nedre gräns (25:e percentilen) | \n\n---\n\n Median | \n\n---\n\n Övre gräns (75:e percentilen) |
|---|---|---|---|
| Marknadssnitt: Analytisk ingenjör | €3 787/per månad | €4 497/per månad | €5 207/per månad |
| Lön i vår data — anges ej i annonsen (Senior) | €329/per månad | €388/per månad | €447/per månad |
Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. You'll work alongside talented and experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions that make a real difference, all using a modern, cutting-edge technical stack. To truly make an impact, you'll need to learn quickly, thrive in a fast-paced environment, and collaborate closely within the team and with the stakeholders. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets. Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use. Develop scalable, reusable, and maintainable code, tools, and frameworks that can be adopted across different game teams. Partner with game analytics teams to co-design, build, and maintain data tools and products used across multiple applications. Build and maintain end-to-end AI pipelines to support the day to day Analysts tasks. Share knowledge across the team by educating game analysts on coding and software engineering best practices. Why Zynga: We focus on continuous learning, collaboration, strong team culture, and delivering innovative solutions. What You Bring: A bachelor degree in a quantitative field. Advanced SQL skills (CTEs, optimization, and large-scale data warehouses). Experience building data pipelines in production environments (Airflow, Docker, S3, and CI/CD workflows). Proficiency in Python for data analytics. Experience with LLMs or generative AI tools. Strong collaborative and proactive attitude. Nice-to-haves: Tableau dashboards, Mobile Gaming background, Marketing Analytics. What’s in it for you: Hybrid work, relocation support, 25 days annual leave, etc. We are an equal opportunity employer and invite applicants worldwide.
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