Senior Product Data Analyst Lead
hace 4 semanas
We are flexible. Come and join us in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun.
FREENOW empowers smarter mobility decisions helping people to move freely and cities to thrive.
We are looking for a Senior Product Data Analyst 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.
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.
Developing and evaluating A/B tests and 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 modelling 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 storytellingYou will have the opportunity to steer our products, which kind of features should be developed, and which changes should be made to solve millions 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.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.
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.
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