FREENOW: Smarter Mobility for All
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.
Your Daily Adventures
- 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.
Requirements
- 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)
Benefits
- 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