Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du automatisierte Datenmodelle und Analysen im Bereich People Analytics, nutzt SQL, dbt und Python, um zuverlässige Datenprodukte für wichtige Entscheidungsträger zu erstellen und das Data Engineering voranzutreiben.
Job Technologien
Deine Rolle im Team
- You will join a People Analytics environment where the foundations are already in place, but there is significant room to shape what comes next.
- You will have the opportunity to take real ownership of our People data layer, work on questions that matter to senior decision-makers, and help us move from traditional reporting toward a more automated and AI-enabled way of working with People data.
- We are looking for a Senior Analytics Engineer to own and evolve the data foundation behind People Analytics.
- You will turn complex People data into clean, trusted and well-modeled data products used across People, Finance and Management.
- Sitting at the intersection of data engineering and analytics, you will own the transformation layer from raw data to reliable models, metrics and insights.
- You will work hands-on with SQL, dbt, Snowflake and Python, while using AI to accelerate how we build, analyze and work with data.
- This is a role with significant ownership: you will shape how People data is modeled, tested and made accessible across the organization.
- Build and own scalable, tested data models and transformations using dbt and SQL, with Snowflake as our data platform.
- Design the data models and architecture behind our People Analytics products, creating a trusted foundation for reporting and decision-making.
- Build analytics products and dashboards directly in Snowflake, making reliable People data accessible across the organization.
- Turn ambiguous questions from People, Finance and Management into robust analyses and reusable data products.
- Use Python to integrate internal and external data sources, work with APIs and automate data workflows.
- Use AI tools such as Claude to accelerate data modeling, development and analysis, and help us explore new ways of working with data.
- Establish strong standards for data quality, testing, documentation and maintainability.
- Monitor and troubleshoot data pipelines and jobs, identifying root causes and improving reliability.
- Use workflow automation tools such as n8n to automate processes and connect data and systems where it adds value.
- Partner with our wider Data Intelligence organization to align on architecture, tooling and engineering standards.
Unsere Erwartungen an dich
Ausbildung
- A high degree of ownership and the ability to work independently from problem definition through to production.
Qualifikationen
- Expert-level SQL, including complex transformations, query optimization and working with large datasets.
- Strong knowledge of data modeling and ELT principles, including dimensional modeling and layered data architectures.
- Strong Python skills for data extraction, transformation and integration, including working with APIs and building reusable data workflows.
- Strong analytical judgment: you can take an ambiguous business question, determine what needs to be measured and turn it into a reliable data solution.
- Ability to communicate complex data and findings clearly to both technical and non-technical stakeholders.
- Curiosity about AI-assisted analytics and engineering and an interest in using new tools to improve how data work gets done.
Erfahrung
- 8 years of experience in analytics engineering, data engineering, or a comparable data role, with substantial hands-on ownership of production data products.
- Deep hands-on experience with dbt, including designing modular model structures, testing, documentation and macros, and maintaining production-grade projects.
- Hands-on experience with a modern cloud data warehouse such as Snowflake, BigQuery or Databricks, including data modeling and performance optimization.
- Experience with Git-based development workflows and CI/CD principles for analytics code.
Unser Angebot
- Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
- Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
- Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
- Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
- Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
- Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
Benefits
Essen & Trinken
Mehr Netto
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Job Standorte
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Flixbus
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Description
- Gründungsjahr
- 2011
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Sport, Freizeit
Senior Analytics Engineer - People Analytics
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
