Location: We are flexible! Come and join us either in Germany, Poland, Greece, Portugal or Italy!

FREE NOW empowers smarter mobility decisions helping people to move freely and cities to thrive.

Be ready to work in a multinational, diverse, highly motivated and collaborative team who strives for excellence and like to have fun.  Are you ready for your next ride?

As of now, we are looking for a Data Analytics Principal in Core-Technology! 

If you love technology and innovation and have solution-oriented thinking, HERE IS YOUR CHANCE! 

Principals in Data are technical leaders involved in key business initiatives. They are experts in their data craft and generate significant business impact directly and indirectly. This is achieved by owning their respective data craft leadership (distributed across several domains in our data mesh setup) as well as the technical strategy. They identify & reveal the big problems, know or research innovative solutions, translate them to actions, and execute/delegate (have autonomy and lateral leadership). They have full ownership of their projects, bringing them from the initial idea generation to the phase of implementation together with Engineers, Data Engineers, Data Analysts, Product managers, etc while leading teams around them in the application of their respective data craft.


  • Providing data craft and cross-functional project leadership with focus on Data Analytics
  • Defining standards & guidelines to ensure high quality and sustainability of deliverables across all DATA domains
  • Work closely together with the Data leadership in the conceptualization and implementation of infrastructures, processes and models for a deep understanding of data in a growing variety of market environments leading to the projection of future developments
  • Leading data projects & initiatives with reach across the entire company
  • Anticipating bottlenecks, providing escalation management, anticipating and making trade-offs, and balancing business needs versus scientific and technical constraints
  • Own a product end to end by actively monitoring application health, performance and business impact, set KPIs and act accordingly in case those are not met
  • Mentoring and helping develop the data analysts as well as the craft in Data Analytics
  • Guides and supports teams dealing with complex scenarios


Your profile:

  • Bachelor, Master degree or PhD in a field such as Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, Economics, etc.
  • At least 8 years experience in one of the focus areas for principals (Data Analytics, Data Science, Data Engineering, Experimentation / Statistics or Machine learning Engineering).
  • Strong holistic view on implementation of data products across all data functions and strong stakeholder management and storytelling skills. 
  • Highly advanced knowledge, expertise and proven track record of implementation of products and projects and constantly challenging the status quo in their principal focus area to further our operations and business.
  • Strong knowledge and interest in the way our business & the mobility industry operates; big picture thinking. 
  • Lead innovation and define how to create additional value through the utilization of our data assets.
  • Proven ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications and then deliver features in a successful and timely manner
  • Able to deliver clear, well-structured and meaningful information to target audience of various stakeholders and knowledge level.
  • Highly innovative individual with strong problem solving skills and solution-oriented, agile mindset.
  • Strong hands-on mentality (when needed), a strong sense of accountability & ownership and strong mindset for "nothing is someone else's problem".
  • Highly collaborative with good negotiation and relationship building-skills.
  • Flexible and able to pivot quickly based on business needs and changing environment.
  • Highly receptive for feedback / being challenged, always eager to learn and humble (notion that no one of us is always 100% right).

Hard skills:

  • Expert knowledge of SQL, Python, R or similar technologies required to develop Data Analytics projects.
  • Expert knowledge and experience in one of the following domains: Advanced / Prescriptive Analytics, Automation, Geospatial Analytics, etc.
  • Subject Matter Expertise in at least one of our domains (i.e. Marketing, Product Domains, Operations, Finance)
  • Expertise on multiple Data Analytics facets: insights generation, statistical analysis, working with large data sets, data wrangling and transformations, experimentation, data visualisation, reporting and storytelling
  • Embody and evangelise best practices for Data Analytics and proactively raising the overall quality of work produced
  • Willing and eager to learn new languages, frameworks, tools and methodologies (you can tackle anything with a good tutorial)


  • Fully remote* or hybrid working models
  • Subsidised gym membership
  • Sabbatical & time off
  • Partner product discounts
  • Birthday-off
  • Employee assistance program
  • Mobility benefits card


Plus more local benefits depending on your work location!

* or in one of the countries where we have a legal entity in!


FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work



Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)

Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.