Job Requirements
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Skills
Job description for Data Analytics Product Manager at HEINEKEN
- Own and manage the end-to-end product lifecycle from concept to launch, including market needs, product vision, and strategy.
- Develop detailed product requirements and specifications for innovative analytics products (alongside the product owner).
- Work closely with data scientists, engineers, and UX designers to drive product development in a lean/agile environment.
- Create transparent communication to manage stakeholder engagement, validating product concepts and optimizing product development.
- Evaluate competitive offerings to ensure that our analytics product maintains its leadership in the marketplace.
- Coordinate with cross-functional teams to ensure smooth product deployment (inc. change management)
- Establish and maintain strong relationships with key stakeholders to ensure that product solutions are aligned with business needs
- Work closely with customer-facing teams to develop and implement training and support materials
- Measure product performance and optimize based on gathered data and user feedback
- Global Analytics APM leadership
- Regional Data & Analytics leadership
- Product Suite Owner within domain of expertise
- MSc/PhD in a quantitative related field; equivalent work experience accepted.
- 8+ years in a product/tech/consulting or analytics role
- 2+ years of management experience
- Strong communication, project and stakeholder management & structured problem solving
- Proven ability to develop product strategies and effectively communicate recommendations to non-technical audiences (executive management)
- Experience working in an agile environment (e.g. user stories, iterative development, etc.). Experience working with JIRA
- Able to translate analysis and conclusions into actionable recommendations that delivery business value
- Demonstrated ability to effectively manage and prioritise projects and deliverables (multiple projects across the team)
- Proven experience in managing all aspects of a successful product throughout its lifecycle
- Highly proficient in MS Office
- Experience in data analysis, machine learning or related field
- Experience with SQL
- Experience with Azure development environment
- Experience working with a large development team (CI/CD)
- Experience in FMCG/Beverage Industry
- Management / leadership of related domain experts
- Experience setting team vision and strategy
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