Product Data Analyst

• 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
• 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

Benefits

• Sabbatical leave: Get rewarded for you rhard work with a sabbatical after two years.
• Employee assistance program: Your wellbeing is our priority, anonymous external support is always available.
• Welcome & anniversary gifts: We’ll send you a little something to celebrate these special occasions.
• Mobility benefits card: Get from A to B on us. Every month you’ll get a mobility budget to try out different transport options.
• Flexible work options: Work as you are and where you want with flexible hours and remote opportunities.
• Talent development: Your growth is important to us. Progress your career with dedicated training courses and regulars development check-ins.
• Birthday off: Celebrate in style with an extra dy off each year.
• Remote work within the EU: Work up to 20 business days every 6 months from all countries in the European Union & Switzerland.- 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
• 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
• 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 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