Statista

1 month ago

Analytics Engineer (m/f/d)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Design, build, and optimize scalable data models; transform raw data into clean datasets; collaborate with data engineers, analysts, and stakeholders to define data requirements; implement data quality checks; develop semantic layers to standardize key business metrics and improve data accessibility.

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•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

Pay and Benefits

Perks:Hybrid WorkHealth InsuranceGym MembershipUrban Mobility

Key Requirements

•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)
•Strong attention to detail with a quality-focused and structured working style

Experience:3+ yearsAnalytics engineeringData engineeringData modelingData governance

Skills:SQLData modelingData governanceData qualityData warehousingSemantic layersData architectureData visualization

Languages:EnglishGerman

Tech Stack:DbtSnowflakeBigQueryRedshiftAWSCI/CDSQL

Company Brief

Statista

Operates an online statistics portal providing market and consumer data, industry reports, and infographics. Serves businesses, researchers, and media with aggregated statistics and insights across global industries and topics.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Hamburg, Germany

Founded: 2007

Website LinkedIn

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Statista

1 month ago

Analytics Engineer (m/f/d)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Hamburg, Berlin

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•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

Pay and Benefits

Perks:Hybrid WorkHealth InsuranceGym MembershipUrban Mobility

Key Requirements

•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)
•Strong attention to detail with a quality-focused and structured working style

Experience:3+ yearsAnalytics engineeringData engineeringData modelingData governance

Skills:SQLData modelingData governanceData qualityData warehousingSemantic layersData architectureData visualization

Languages:EnglishGerman

Tech Stack:DbtSnowflakeBigQueryRedshiftAWSCI/CDSQL

Company Brief

Statista

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Hamburg, Germany

Founded: 2007

Website LinkedIn