Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop automated data models and analyses within People Analytics, using SQL, dbt, and Python to create reliable data products for key decision makers and drive data engineering forward.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- A high degree of ownership and the ability to work independently from problem definition through to production.
Qualifications
- 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.
- Neugier auf KI-gestützte Analysen und Engineering sowie Interesse an der Nutzung neuer Tools, um die Arbeit mit Daten zu verbessern.
Experience
- 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.
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What we offer
- 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.
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Benefits
Food & Drink
Higher Take-Home Pay
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Flixbus
We are a global mobility provider and have been changing the way millions of people around the world travel since 2013 under the brands FlixBus and later also with FlixTrain.
Description
- Founding Year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Sports, Leisure
Senior Analytics Engineer - People Analytics
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
