Statista
Statista
Statista bizneslar, akademik muassasalar va davlat tashkilotlariga bozorlarni tushunish hamda asoslangan qarorlar qabul qilishda yordam beradigan global statistika va bozor ma’lumotlari platformasidir. Uning tadqiqot xizmati 150 dan ortiq mamlakatga oid bir milliondan ziyod statistik ma’lumotni 170 ta sohani qamrab oluvchi tahlillar, prognozlar, hisobotlar va maxsus ma’lumotlar yechimlari bilan birlashtiradi. Kompaniya bozorni baholash, strategik rejalashtirish va dalillarga asoslangan qarorlar qabul qilishni qo‘llab-quvvatlash uchun keng qamrovli ma’lumotlar resurslarini ekspert tadqiqotlari bilan uyg‘unlashtiradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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