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Freenow by Lyft logo
1 week agogreenhouse

Product Data Analyst (m/f/d) - Berlin

Freenow by Lyft / Internet Marketplace Platforms
Berlin, GermanyHybridFull Time
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AI Summary

Collaborate with product squads to generate feature ideas, validate hypotheses, and measure performance through A/B testing. Own the full analytical lifecycle from ideation to communicating actionable insights to senior management.

Requires a degree in a quantitative field and 3+ years of experience in a data-driven analytics environment. Candidates must possess strong SQL and statistical programming skills, along with experience in data visualization and event tracking tools.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Education: bachelor degree
Work Arrangement: Hybrid
Experience Level: 2 - 5 years
Hours: 40 hrs/week
Language: English
Benefits
Flexible working arrangementsLinkedIn LearningSabbatical & special leave policiesWeRoad partnershipBirthday offDecember 24th offDecember 31st offShort term EU work policyMobility creditHealth insuranceEmployee assistance program
Key Skills
SQLPythonRA/B testingData visualizationTableauQlikviewMixpanelGoogle AnalyticsFirebaseStatistical programmingData modelingETLProduct analyticsStorytellingStakeholder management
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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 Product Data Analyst (m/f/d) to collaborate with our product squads, using data to build a flawless product experience. You will join the Product Data Team and work closely with PMs, designers, UX researchers, developers, and other data functions to discover new product opportunities, validate hypotheses, and launch valuable features to our users.

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.
  • 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 and prioritization committees.
  • Developing and evaluating A/B test experiments or other analyses to measure and report the performance of released features, ensuring that we are launching the correct changes and features in our apps.
  • 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.
  • You will have the opportunity to steer our products, which kind of features should be developed, and which changes should be made to solve hundreds of thousands of users' daily needs.

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
  • 3+ years experience in working as a Data Analyst in a data-driven analytics environment, preferably within tech product organizations, having direct contact with stakeholders.
  • 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
  • Good understanding and hands-on experience in analyzing and interpreting A/B test results, backed by statistical knowledge.
  • Experience in working with data visualisation tools (e.g.Tableau, Qlikview) and event tracking (e.g. Mixpanel, GA, Firebase)
  • You are able to communicate findings in a concise and clear manner to a wide variety of stakeholders to support data-driven decision making 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:

               

About Freenow

FREENOW is a European multi-mobility app that offers various transport services, including taxis, eScooters, and public transit, for efficient urban travel.

Internet Marketplace Platforms
1,708 employees
Hamburg
Most staff in DEU
$114M raised
Employee ratings
From Glassdoor · 1.1k reviews · View profile
Diversity & inclusion4.0
Work–life balance3.9
Culture & values3.6
Compensation & benefits3.4
Career opportunities3.1
Senior management3.0
64%
would recommend to a friend
41%
positive business outlook
Categories
AppsSoftwareTransportationRide SharingMobileTravel
Specialties
Taxi and Mobility