Senior Analytics Engineer – People Analytics (m/f/d)

Flix; München; Hybrid; EUR 90.000 - 125.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Wellbeing support

Learning & Development

Zusammenfassung

Flix is seeking a Senior Analytics Engineer to own and evolve the data foundation behind People Analytics. You will transform raw data into reliable models, metrics and insights used by People, Finance and Management.

You will work hands-on with SQL, dbt, Snowflake and Python, and apply AI to accelerate data work, shaping how People data is modeled, tested and made accessible across the organization.

Qualifikationen

• 8+ years of analytics engineering or related data role with ownership of production data products.
• Expert-level SQL, including complex transformations and large datasets.
• Deep dbt experience with modular models, tests, documentation and macros.
• Strong data modeling and ELT knowledge, including dimensional modeling.
• Hands-on with Snowflake, BigQuery or Databricks, including performance optimization.
• Strong Python for data extraction, transformation and APIs.
• Experience with Git-based workflows and CI/CD for analytics code.
• Ability to communicate complex data to technical and non-technical stakeholders.
• High ownership and ability to work independently end-to-end.
• Curiosity about AI-assisted analytics and tools.

Aufgaben

• Build and own scalable, tested data models and transformations using dbt and SQL, Snowflake as platform.
• Design data models and architecture for People Analytics products for trusted reporting.
• Create analytics products and dashboards directly in Snowflake for widespread access.
• Translate ambiguous business questions into robust analyses and reusable data products.
• Use Python to integrate data sources, APIs, and automate workflows.
• Leverage AI tools to accelerate data modeling and analysis.
• Establish data quality, testing, documentation and maintainability standards.
• Monitor data pipelines and troubleshoot root causes to improve reliability.
• Use workflow tools like n8n to automate processes and connect systems.
• Collaborate with Data Intelligence to align on architecture and standards.

Kenntnisse

8+ years analytics experience

Advanced SQL

dbt expertise

Data modeling

Cloud data warehouse

Python

Git & CI/CD

Analytical judgment

Communication to stakeholders

Ownership & independence

Tools

Claude

Snowflake

n8n

Airflow

Datadog

Jobbeschreibung

At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.

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.

About the Role

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

What you'll do

• 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.

About You

What you bring

• 8y years of experience in analytics engineering, data engineering, or a comparable data role, with substantial hands-on ownership of production data products.
• Expert-level SQL, including complex transformations, query optimization and working with large datasets.
• Deep hands-on experience with dbt, including designing modular model structures, testing, documentation and macros, and maintaining production-grade projects.
• Strong knowledge of data modeling and ELT principles, including dimensional modeling and layered data architectures.
• Hands-on experience with a modern cloud data warehouse such as Snowflake, BigQuery or Databricks, including data modeling and performance optimization.
• Strong Python skills for data extraction, transformation and integration, including working with APIs and building reusable data workflows.
• Experience with Git-based development workflows and CI/CD principles for analytics code.
• 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.
• A high degree of ownership and the ability to work independently from problem definition through to production.
• Curiosity about AI-assisted analytics and engineering and an interest in using new tools to improve how data work gets done.

Nice to have

• Hands-on experience using AI-assisted development tools such as Claude Code, coding agents or similar tools in analytics or engineering work.
• Experience building with AWS Cloud and Terraform.
• Experience with workflow automation or orchestration tools such as n8n, Airflow or similar.
• Experience with data quality, observability or job-monitoring tools such as Datadog.
• Experience with forecasting, predictive analytics or statistical modeling.
• Experience working with Workday or other HR / People systems.
• Experience working with People, workforce or financial data.

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!

What We Offer

• 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.

At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
As we continue to expand across the globe, you can make a real difference in how we work.

If you’re ready to grow and lead your journey, Flix is the place for you!