Economia jobs in United States

Location : We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens.

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 Supply 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?

• 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 supply products, which kind of features should be developed, and which changes should be made to solve thousands of taxi drivers’ daily needs.

• 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 mannerto a wide variety of stakeholders to support data-driven decision making by using data visualisation and storytelling and have excellent English communication skills.

• 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!

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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FREENOW is an equal opportunity employer and we consider qualified applicants regardless of ethnic origin and nationality, gender identity, physical and mental abilities, religion, sexual orientation, social background or age.

We only invite applicants to voluntarily and anonymously share their demographic background in order to identify areas of improvement in our hiring process. Your answers have no impact on the outcome of your application.

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