Product Owner with Data Analytics experience (#13355585)

We are looking for Product Owner with Data Analytics experience. As a proven leader in global commerce, billing and payment solutions, our client is seeking for a Product Owner to join our growing Subscription Reporting and Analytics Team. The ideal candidate is someone who has a demonstrated track record of successfully leading and delivering large-scale and complex projects or products; think strategically to create compelling long-term product road maps; and influence key stakeholders to bring those road maps to reality.

Main Responsibilities:

• Drive the innovation, lead the design and promotion of best practices on our centralized, enterprise-ready subscription data warehouse solution
• Identify and prioritize opportunities to enhance our product offering based on client input, competitive analysis, and technology needs
• Write technical requirements, understand importance of various product features, prioritize development, and coordinate across all interested stakeholders
• Provide thought leadership and actively mentor and coach our team of Data Engineers and Scientists
• Influence and steer data-driven decision making in a matrixed environment in order to align stakeholders (business teams, technical leaders and senior management)
• Work collaboratively and cross-functionally with the other Product Owners of our Development sub teams

Qualifications and Skills:

• Bachelor’s degree in Business Management, Math, Statistics, Software Engineering, IT, or Computer Science
• Minimum 2 years’ experience in a Product Owner or similar role
• User-centered and iterative data warehouse product development
• Experience working with Agile Software Development Teams
• Excellent interpersonal, verbal and written skills, which includes the ability to explain technical concepts to non-technical audiences
• Fluent in English, German is a plus
• Demonstrate proficiency in at least four of the following six areas:
  • Data analysis and relational-style query languages
  • A high-level programming language
  • Machine learning and/or statistical modeling
  • Distributed computing
  • Data visualization
  • Understanding of e-commerce and subscription business models

Nice to have:

• Industry-specific knowledge and experience (e-commerce)
• Worked on predictive modeling for e-commerce-relevant use cases, such as: forecasting key performance indicators, personalized product recommendation, recommendation engines, fraud detection, predictive marketing

 We offer:

• Flexible hours approach
• 18 business days of payable annual free-time
• 10 days of paid sick leave
• Competitive compensation package
• Medical Insurance
• IT Club Discount program

Professional growth:

• Challenging and non-standard tasks and projects
• Individual Development Plan 

Fun:

• Team buildings
• Corporate events and outstanding parties
• Anniversary presents