Statista
Statista
Statista — бизнеске, академиялық мекемелерге және мемлекеттік ұйымдарға нарықтарды түсінуге әрі негізделген шешімдер қабылдауға көмектесетін жаһандық статистика және нарықтық деректер платформасы. Оның зерттеу қызметі 150-ден астам елден алынған бір миллионнан аса статистиканы 170 саланы қамтитын талдаулармен, болжамдармен, есептермен және арнайы әзірленген деректер шешімдерімен біріктіреді. Компания нарықты бағалау, стратегиялық жоспарлау және деректерге негізделген шешім қабылдау үдерістерін қолдау үшін ауқымды дереккөздерді сараптамалық зерттеулермен ұштастырады.

Analytics Engineer at Statista (Hybrid, Germany)

Build scalable data models and analytics datasets at Statista, a global business data platform. Help improve data quality, governance, and accessibility across teams.

Сипаттама

  • Build and optimize scalable data models with modern data-stack tools such as dbt and Snowflake
  • Convert raw data into dependable, well-documented datasets for analytics, reporting, and operational needs
  • Partner with data engineers, analysts, tracking teams, and business stakeholders to establish data requirements and maintain alignment
  • Set up and maintain data-quality checks, tests, and monitoring processes
  • Create and manage semantic layers that standardize and govern core business metrics
  • Increase cross-team data accessibility and usability through clear structures and established best practices
  • Record data models, definitions, and workflows to support transparency and stronger data literacy
  • Support data-governance, harmonization, and automation efforts, including AI-enabled analytics use cases

Талаптар

  • At least three years of experience in analytics engineering, data engineering, or a related field
  • Advanced SQL proficiency
  • Practical knowledge of data modeling, including dimensional models and star schemas
  • Hands-on experience with modern data-stack tools and practices, including dbt and CI/CD
  • Willingness to use AI-assisted development workflows such as Claude Code or comparable tools
  • Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
  • A meticulous, quality-oriented, and structured approach to work
  • Interest in data governance, standards, and scalable data architecture
  • Strong analytical thinking and problem-solving ability
  • Excellent English communication skills with technical and business stakeholders
  • A solid understanding of business requirements and context
  • German language skills are advantageous

Артықшылықтар

  • Work from abroad for up to 30 calendar days per year
  • Hybrid working arrangements with flexible hours
  • International colleagues and social events
  • Subsidized urban mobility plus fitness and wellness options
  • Free access to Langdock and its available functionality
  • Career development and training opportunities
  • Modern offices in attractive locations
  • Mental health support through OpenUp
  • Some benefits are limited to the German entity and to junior-level roles or above

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