Auf einen Blick
- Aufgaben: Join our team to analyze data and develop innovative pricing strategies.
- Arbeitgeber: FREENOW empowers smarter mobility decisions in a diverse, collaborative environment.
- Mitarbeitervorteile: Enjoy flexible work arrangements, LinkedIn Learning, and health insurance.
- Warum dieser Job: Make a real impact on market position and rider satisfaction while having fun.
- Gewünschte Qualifikationen: Degree in a quantitative field and experience as a Senior Data Analyst required.
- Andere Informationen: Work from Hamburg, Berlin, or Barcelona and be part of a multinational team.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Location : We are flexible! Come and join us either in Hamburg, Berlin or Barcelona
FREENOW empowers smarter mobility decisions helping people to move freely and cities to thrive.
We are looking for a Senior Pricing Data Analyst (m/f/d) to collaborate with our product squads, using data to build innovative pricing solutions. You will join the Product Data team and work closely with PMs, Data Scientists, UX researchers, developers, and other data functions to discover new product opportunities, validate hypotheses, and launch valuable features to our users. This is a high-impact position where your insights will directly influence our market position, driver-partner earnings, and rider satisfaction.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Providing expertise and collaborating with stakeholders to generate new product feature ideas and improvements, and also estimating the potential impact of planned projects
- Developing and refining dynamic pricing strategies to balance rider demand and driver supply in real-time, while understanding our customer needs and different market states
- Collaborating with data science and engineering teams to implement machine learning models that improve pricing decisions
- Continuously engaging with the product squads to gain an understanding of the problems that need to be solved, gathering requirements, and defining the best deliverables to match the business needs
- Having full ownership of your analysis, from ideation to communication of results and making recommendations to all levels of the company including senior management
- Developing and evaluating A/B tests and other analyses to measure and report the performance of released features, ensuring that we are effectively improving our pricing strategy
- Working closely with our developers and data engineers to create and capture data that is aligned with the business logic and allows modeling and analysis
- Being involved throughout the complete product lifecycle in order to guarantee a data-driven process
- Bringing new insights and championing them, using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there’s always a new path to follow if your idea is convincing and well backed with data!
TO BE SUCCESSFUL IN THIS ROLE:
- You have curiosity in your essence , which motivates you to answer WHY things happened , not only scratching the surface, but aiming for well-founded actionable results
- Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other fields with a strong mathematical-statistical background
- Previous experience in working as a Senior Data Analyst in a data-driven analytics environment, preferably within tech product organizations, having direct contact with stakeholders
- Previous experience working with pricing topics such as pricing elasticity, dynamic pricing, supply and demand incentives, Value-Based pricing, and subscriptions
- Exceptional analytical skills , lateral thinking, and proven experience in solving highly challenging problems
- Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R) so that exploratory analyses can be performed, reports created and ETLs maintained
- Possess advanced expertise in designing digital experiments , along with extensive hands-on experience in analyzing and interpreting A/B test results , all supported by a strong foundation in statistical knowledge. Experience in causal methodologies is a plus.
- Experience in working with data visualisation tools (e.g.Tableau, Qlikview) and event tracking (e.g. Mixpanel, GA, Firebase)
- You have successfully mentored junior analysts, guiding their growth and helping them develop new skills
- You understand how to engage and influence decision-makers by using data visualisation and storytelling and have excellent English communication skills
BENEFITS & PERKS IN A NUTSHELL:
- Flexible working arrangements
- LinkedIn Learning
- Sabbatical & special leave policies
- WeRoad partnership
- Birthday, 24th + 31st December off
- Short term EU work policy
- Mobility Credit
- Health Insurance
- Employee assistance program
Plus more local benefits depending on your work location!
DIVERSITY, EQUITY & INCLUSION:
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.
SEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:
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Senior Pricing Data Analyst Arbeitgeber: FREENOW

Kontaktperson:
FREENOW HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Pricing Data Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in dynamic pricing and how they apply to mobility solutions. Understanding the nuances of pricing elasticity and market demand will give you an edge in discussions with stakeholders.
✨Tip Number 2
Brush up on your SQL and statistical programming skills, especially in Python or R. Being able to perform exploratory analyses and create reports will be crucial in showcasing your analytical capabilities during the interview process.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and digital experiments. Be ready to share specific examples of how your analyses have influenced pricing strategies or product features in previous roles.
✨Tip Number 4
Highlight your ability to communicate complex data insights effectively. Practice storytelling with data, as this skill is essential for engaging decision-makers and demonstrating the impact of your work.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Pricing Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Pricing Data Analyst position. Highlight key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to emphasize relevant experience in data analysis, pricing strategies, and collaboration with stakeholders. Use specific examples that demonstrate your analytical skills and problem-solving abilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your curiosity and passion for data-driven decision-making. Mention specific projects or experiences that relate to dynamic pricing and A/B testing, and explain how you can contribute to the team.
Highlight Technical Skills: Clearly list your technical skills, especially in SQL, Python, and data visualization tools. Provide examples of how you've used these skills in previous roles to solve complex problems or improve processes.
Wie du dich auf ein Vorstellungsgespräch bei FREENOW vorbereitest
✨Show Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to solve complex problems. Highlight your experience with SQL, Python, or R, and be ready to explain your thought process behind your analyses.
✨Understand Pricing Strategies
Familiarize yourself with concepts like dynamic pricing, pricing elasticity, and value-based pricing. Be prepared to discuss how these strategies can impact rider demand and driver supply in real-time.
✨Demonstrate Collaboration Experience
Since the role involves working closely with product squads and stakeholders, share examples of successful collaborations. Emphasize your ability to communicate insights effectively and influence decision-makers using data storytelling.
✨Prepare for Technical Questions
Expect questions related to A/B testing and causal methodologies. Brush up on your knowledge of designing digital experiments and interpreting results, as well as your experience with data visualization tools like Tableau or Qlikview.