Job
In this role, you will design scalable data models using modern tools, transform raw data into clean datasets, and collaborate closely with various teams to define data requirements and ensure data quality.
Job technologies
Your role in the team
- Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake).
- 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.
Our expectations of you
Qualifications
- Strong attention to detail with a quality-focused and structured working style.
- Interest in data governance, standards, and scalable data architecture.
- Analytical mindset with strong problem-solving skills.
- Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts.
Experience
- 3+ years of experience in analytics engineering, data engineering, or a related role.
- Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas).
- Hands-on experience with modern data stack tools and technologies (e.g., dbt, CI/CD) and openness to AI-assisted development workflows (e.g., Claude Code or similar).
- Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
What we offer
- In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
- Work from abroad up to 30 calendar days a year.
- Hybrid work and flex-time.
- International team and social events.
- Subsidized urban mobility and access to fitness and wellness options.
- Free access to Langdock and all its amazing functionalities.
- Career & training opportunities.
- Attractive locations and modern offices.
- Mental health support with OpenUp.
Benefits
Work-Life-Integration
Higher take-home pay
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Statista is one of the leading statistics portals in the world. Multiple award-winning as an innovative, digital company provides Statista customers such as Google, Bloomberg, Forbes, Procter & Gamble or Porsche with high quality products and services from research & analysis , data intelligence , content marketing and news. With over 600 employees from 57 different countries and offices in Hamburg , New York , London , Singapore and Paris draws Statista its innovation power from internationality and diversity . The customer satisfaction is always our top priority .
- 250+ Employees
- 2007
- Digital Agency
- Hybrid, Onsite
- Internet, IT, Telecommunication
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