Manager, Product Intelligence

Berlin, Germany
Posted 17 days ago
Main Location
Berlin, Germany
Open jobs

You are a creative thinker and data guru who can drive great customer experience through data-driven insights and personalisation.

Your tasks

  • Collaborate closely with the VP Product and team leads to develop a customer-driven and data-driven strategy to inform, influence, and shape product decisions
  • Manage a team of 4+ data scientists. Provide leadership on data science & analytics. Mentor growth and maturity of team members. Represent team to the organisation and advocate the Data Science team as an equal partner in evolving the product
  • Make strategic decisions, form execution plans, and drive to completion projects - customer segmentations, path analyses, A/B tests, and pre/post analyses - on feature usage to advise on feature adoption, feature evolution, and web/app personalisation
  • Develop insights and predictive models on key KPIs such as Retention and CLV
  • Prototype data-driven features based on insights and/or machine learning models
  • Generate tactical insights from analytics and visualisation to drive product strategy
  • Act as an advocate of our company’s data-driven culture: produce reports that are actionable, dashboards that are diagnostic, and recommendations that drive growth

Your Profile

  • You proactively take action, drive toward clarity, and think holistically
  • You thrive in a diverse, interdisciplinary environment
  • You possess exceptional communication and interpersonal skills, enabling effective collaboration with business and technical stakeholders
  • You have a scientific mindset; backed by solid analytical problem solving skills, strong attention to detail, and a mild obsession with data accuracy
  • You are proficient in SQL with an understanding of database management
  • You have development experience in either Python or R
  • You have experience with reporting tools such as Tableau or Excel
  • You are grounded in Statistics
  • You have strong experience with econometrics, data mining, and/or machine learning
  • You have experience in one of - product analytics, customer analytics, marketing analytics, recommendation systems - in an e-commerce environment
  • 3+ years non-academic experience in data science. 2+ years managing team
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