Back to results

Analytics Engineer

Salary not disclosed3+ yearsOnsite

  • Germany
  • Full time
  • Yesterday
Newly posted

About the role

Statista is seeking an Analytics Engineer to design, build, and optimize scalable data models using modern data stack tools. The role involves transforming raw data into clean, reliable datasets and collaborating with cross-functional teams to define data requirements and ensure metric standardization.

Responsibilities

  • Design, build, and optimize scalable data models using modern data stack tools
  • Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use
  • Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment
  • Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability
  • Develop and manage semantic layers to standardize and govern key business metrics
  • Improve data accessibility and usability across teams by promoting best practices and clear data structures
  • Document data models, definitions, and workflows to enhance transparency and data literacy
  • Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases

Required skills

  • SQL
  • Data modeling
  • Dimensional modeling
  • dbt
  • CI/CD
  • Cloud data warehouses
  • Snowflake
  • BigQuery
  • Redshift

Nice to have

  • AI-assisted development
  • Data governance
  • German

Qualifications

  • 3+ years of experience in analytics engineering, data engineering, or a related role

Benefits

  • Work from abroad up to 30 calendar days a year
  • Hybrid work
  • Flex-time
  • International team
  • Social events
  • Subsidized urban mobility
  • Fitness and wellness options
  • Free access to Langdock
  • Career & training opportunities
  • Mental health support

About the Company

Statista is the world's leading business data platform, providing reliable and easy-to-use data products and services to empower fact-based decision-making. Founded in 2007, the company has grown into a global organization with offices in major cities including London, New York, Berlin, and Tokyo.