Product Analyst B2C

We are looking for a Product Analyst B2C (m|f|x) that helps our product development teams pushing our idealo webpages to the next level. In Product Analytics we drive the evolution of our price comparison platform to fuel our exceptional growth while systematically creating paths to connect the individual data products in our data lake.

The position is available as a full-time or part-time position. 

About your new role

• Product Enabler: You advise Product Leads on data-driven product optimization opportunities, design A/B tests and provide user behaviour insights and input for product improvement strategies and possible conflicts with other company activities through proactive stakeholder management

• KPI Specialist: You define and monitor key performance indicators that are crucial for product success and enable teams to efficiently track and analyse KPIs for performance evaluation

• Data Expert: You serve as the go-to person for product-related data inquiries and consult on idealo-wide data product requirements to enhance product analytics and our data landscape.

• Collaborator: You support colleagues in resolving data challenges to elevate their product analytics skills and foster knowledge sharing across business units to drive holistic analytical insights

Skills & Requirements

• You have 2+ years of experience working in Product analytics in an agile environment, ideally in an e-commerce setting.

• You have hands-on experience in A/B testing and statistical methods, and have knowledge on the related concepts

• You are proficient in querying data using SQL with an eye on cost efficiency, knowledge of statistical programming languages (e.g. Python, R) is a plus

• You are great at translating complex analytics into business implications using Tableau or other visualization tools and techniques and discuss your findings with non-technical stakeholders.

• Delivering insights through data storytelling comes naturally to you. You’re a great communicator with fluent English skills.

• If you bring in first-hand experience with data modelling to create robust aggregated tables for analytical purposes, that’s a big bonus.