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

Freenow by Lyft

Barcelona

Híbrido

EUR 55.000 - 75.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements
Sabbatical
WeRoad partnership
Birthday off
Mobility Credit
Health Insurance
Employee assistance program

Descripción de la vacante

Freenow by Lyft in Barcelona is seeking a Product Data Analyst to collaborate with product squads and turn data into a flawless product experience.

You will join the Product Data Team and work with PMs, designers, UX researchers, developers and other data functions to discover opportunities, validate hypotheses, and launch features for users.

Be ready to contribute to a data-driven culture, influence product strategy, and help hundreds of thousands of users daily.

Formación

  • Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other fields with a strong mathematical-statistical background.
  • 3+ years experience as a Data Analyst in a data-driven analytics environment.
  • Exceptional analytical skills and proven problem-solving abilities.
  • Proficiency in SQL and databases; able to perform exploratory analyses and ETLs.

Responsabilidades

  • Collaborate with product squads to generate feature ideas and estimate impact.
  • Gather requirements and define deliverables aligned with business needs.
  • Own analyses from ideation to communication of results to senior management.
  • Develop and evaluate A/B tests to measure feature performance.
  • Work with developers to ensure data collection aligns with business logic.
  • Champion data-driven decisions through dashboards and storytelling.

Conocimientos

SQL
Python
R
Data visualization
A/B testing
Stakeholder communication

Educación

Mathematics/Statistics degree

Herramientas

Tableau
QlikView
Mixpanel
Google Analytics
Firebase

Descripción del empleo

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

Barcelona, Spain

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 inanalyzing 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
  • Sabbatical & special leave policies
  • WeRoad partnership
  • Birthday, 24th + 31st December off
  • 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 .

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