Senior Data&Analytics Product Owner
2 tygodni temu
Lead medium and/or large-scale data science initiatives at a regional or global level. Define business requirements and lead the analytical team towards implementation. Transform business needs into analytical concepts and translate those concepts into tangible business value.
Responsibilities:- Define problems and structure solutions, improve processes, and find new development paths. Don't be afraid to challenge and ask "Why" even a few times.
- Lead the business-side of new projects or rollouts and present results to stakeholders with a non-technical background.
- Assess priorities coming from multiple businesses and technical stakeholders to set up clear priorities for the analytical team.
- Work across functions with supply chain directors, demand planners, data engineers, and data scientists to ensure high-quality deliverables of an analytical product.
- Prepare sufficient documentation of business requirements, processes, and agreements.
- At least 4 years of experience in a similar position (product manager, business project owner, project manager, business consultant, business analyst, etc.).
- Strong analytical skills and a deep understanding of the business to effectively utilize data for justifying assumptions and providing data-driven recommendations.
- Technical and business experience to effectively communicate opportunities and risks of analytical solutions to business executives, the analytical team, and operations.
- Knowledge of agile project management methodologies (e.g., SCRUM, KANBAN).
- Knowledge of tools like Azure Boards/JIRA, Excel. Power BI and SQL skills would be advantageous.
- Fluent business communication in English (min. B2).
- Basic knowledge of Data Science concepts.
- Knowledge within the area of Supply Chain Forecasting would be advantageous.
- Exciting work in a multi-cultural team of bright minds – data lovers and practitioners.
- Flexible remote work options, or access to a modern office in Warsaw's Mokotów, walking distance from Metro Wilanowska.
- Internal training programs and access to external knowledge resources aimed at expanding your skills and competence.
- Support in building your ML skills and portfolio through participation and presenting at conferences and events.
- Opportunities to develop further in our Data Science Hub as well as in the international organization.
- Option of a full-time contract.
- All kinds of juicy fringe benefits: private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestle products.
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