Analytics Engineer (all genders)

GuideCom GmbH; Neu-Isenburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join a leading company in the aviation industry as an Analytics Engineer. You will focus on building production-grade data models and enabling self-service analytics. The role requires strong technical proficiency in SQL and Power BI, along with a strategic mindset to partner with business stakeholders.

Leistungen

Attractive travel discounts

Social benefits

Training and development opportunities

Qualifikationen

• 3+ years in analytics engineering or data modeling roles.
• Strong SQL and knowledge of dbt or similar tools.
• Business fluent in English and proficient in German.

Aufgaben

• Design, build, and maintain data models for business reporting.
• Implement KPI logic and documentation for consistency.
• Collaborate with data engineers and product managers for alignment.

Kenntnisse

SQL

Data Modeling

Power BI

DAX

Analytical Thinking

Version Control

Business Acumen

Tools

dbt

Azure Data Services

Snowflake

Jobbeschreibung

This is what you can look forward to as part of the Condor family:

• Atmosphere - through a friendly and motivated team and flat hierarchies
• Excitement - through an interesting and varied job in a fascinating industry
• Further development - through competent induction as well as training and development opportunities
• Benefits - through attractive travel discounts and social benefits in addition to industry-standard compensation

Your future tasks:

• Modelling:Design, build, and maintain production-grade data models and semantic layers that serve as the foundation for consistent and scalable business reporting
• Metrics Governance: Encode core KPIs and business logic in the backend—ensuring accuracy, reusability, and performance across all analytics and dashboard use cases
• Self-Service Enablement: Deliver well-structured datasets and Power BI models that empower non-technical users to access, explore and act on data independently
• Business Partnership:Act as a strategic partner to business stakeholders—translating their needs into scalable technical solutions and guiding them toward best-practice analytics
• Documentation & Transparency: Own the documentation of metric definitions, data models, and dependencies—creating a reliable knowledge base and audit trail for analytics
• Quality & Performance:Implement best practices in data testing, validation, and performance tuning to ensure high-quality, fast and trustworthy analytics experiences
• Collaboration: Work closely with data engineers, data product managers, and governance leads to ensure alignment on architecture, naming standards, access controls and roadmap planning

Your profile with a passion for aviation:

• Experience: 3+ years in analytics engineering, BI development, or data modeling roles—ideally in environments with enterprise-scale data and self-service goals
• Technical Proficiency: Strong SQL and experience with dbt or equivalent ELT modeling tools; hands-on experience with Azure Data Services and/or Snowflake
• MS Fabric & Power BI Expertise: Deep knowledge of Power BI, including DAX, semantic modeling, and performance tuning; able to build scalable, maintainable reporting layers
• KPI Logic Ownership: Proven ability to define, document, and centralize critical business metrics in code—ensuring consistency across teams and use cases
• Version Control & CI/CD:Familiar with Git-based workflows and modern analytics engineering practices (e.g., testing, staging, automation)
• Business Acumen:Strong communication skills and a strategic mindset—able to partner with business teams and translate needs into data solutions
• Detail Orientation:Passion for clean, tested, well-documented data models that balance flexibility with governance and long-term maintainability
• Languages: Business-fluent english skills and a good command in german both written and spoken