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Senior Product Manager - Analytics(m/w/x)
Defining and managing product strategy for data capabilities in an open partner-ecosystem. End-to-end product lifecycle ownership in data products essential. Flexible 4-day work week with full pay and no holiday reduction.
Requirements
- Extensive Product Management experience in analytics
- Ownership of end-to-end product lifecycle
- Collaboration with data engineering and science
- Translation of data needs into strategy
- Fostering a culture of innovation
- Strategic leadership aligning with organizational vision
- Facilitation of cross-functional collaboration
- Senior-level stakeholder management
Tasks
- Define and execute the analytics product strategy
- Align data capabilities with business goals
- Manage the end-to-end analytics product lifecycle
- Prioritize roadmaps and drive product adoption
- Partner with data engineering and BI teams
- Deliver scalable reporting and measurement tools
- Translate complex data needs into requirements
- Ensure high-quality data models and governance
- Create user-centric analytics experiences
- Track performance and iterate based on feedback
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Full pay for Flexi-Week
- Flexi-Office
- Hybrid and remote work possibilities
- Remote workspace setup support
Informal Culture
- International culture
Mental Health Support
- Mental health and wellbeing support
More Vacation Days
- Paid special leaves
Healthcare & Fitness
- Initiatives and sports offers
Learning & Development
- Extensive training suite
- Professional and personal development
Additional Allowances
- Monthly remote working allowance
Corporate Discounts
- Peer-to-peer voucher program
Not a perfect match?
- KayzenFull-timeWith HomeofficeSeniorBerlin
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Senior Product Manager - Analytics(m/w/x)
Defining and managing product strategy for data capabilities in an open partner-ecosystem. End-to-end product lifecycle ownership in data products essential. Flexible 4-day work week with full pay and no holiday reduction.
Requirements
- Extensive Product Management experience in analytics
- Ownership of end-to-end product lifecycle
- Collaboration with data engineering and science
- Translation of data needs into strategy
- Fostering a culture of innovation
- Strategic leadership aligning with organizational vision
- Facilitation of cross-functional collaboration
- Senior-level stakeholder management
Tasks
- Define and execute the analytics product strategy
- Align data capabilities with business goals
- Manage the end-to-end analytics product lifecycle
- Prioritize roadmaps and drive product adoption
- Partner with data engineering and BI teams
- Deliver scalable reporting and measurement tools
- Translate complex data needs into requirements
- Ensure high-quality data models and governance
- Create user-centric analytics experiences
- Track performance and iterate based on feedback
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Full pay for Flexi-Week
- Flexi-Office
- Hybrid and remote work possibilities
- Remote workspace setup support
Informal Culture
- International culture
Mental Health Support
- Mental health and wellbeing support
More Vacation Days
- Paid special leaves
Healthcare & Fitness
- Initiatives and sports offers
Learning & Development
- Extensive training suite
- Professional and personal development
Additional Allowances
- Monthly remote working allowance
Corporate Discounts
- Peer-to-peer voucher program
About the Company
Awin
Industry
Marketing
Description
Das Unternehmen Awin ist stolz auf eine dynamische, soziale und inklusive Kultur und strebt danach, das weltweit führende offene Partner-Ökosystem aufzubauen.
Not a perfect match?
- Kayzen
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Full-timeRemoteSeniorBerlin