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Manager, R&D Analytics, Wrocław
1 miesiąc temu
Snacking Leader Wanted
Create a Bright Future with Mondelēz International.
The Analytics Manager role is an exciting opportunity to lead the MDS R&D Digital team in driving data strategy and empowering R&D teams with actionable insights, accelerating product development cycles, and enhancing decision-making.
Your Key Contributions
- Collaborate closely with cross-functional teams to develop the data analytics roadmap and ensure alignment with R&D strategies and objectives.
- Propose innovative solutions that fit into the overall Data and Analytics strategy and solutions architecture.
- Oversee data ingestion and analysis to uncover actionable insights and opportunities for optimization.
- Manage the entire delivery lifecycle of all projects for R&D within the Data and analytics space.
- Own relationships with external partners, ensuring successful solution implementation and transition to business-as-usual support.
- Collaborate with IT and data teams to resolve data-related issues, streamline data processes, and enhance data accessibility.
- Champion Agile practices throughout the solution lifecycle and project management practices to scale solutions.
Job Requirements:
- Bachelor's Degree required; Certification in data analysis or related fields a plus.
- 8+ years relevant experience ideally in CPG Industry with experience in managing cross-functional teams or projects.
- Strong project management experience, demonstrated ability to launch and deliver multiple concurrent IT projects on time and within budget.
- Excellent communication skills to convey complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
- Demonstrated leadership capabilities, including inspiring and developing a high-performing team, driving strategic initiatives, and delivering results in a fast-paced environment.
- Demonstrated expertise in Google Cloud Platform (GCP) and Microsoft Azure.
- Experience and knowledge of big data solutions like Google BigQuery, Azure Databricks.
- Strong technical proficiency in data visualization tools such as Tableau, Power BI.
- Proficiency in data analysis tools and programming languages like Python or SQL.
- Proven experience partnering with business functions and managing stakeholder expectations.
- Proven experience influencing others based on knowledge, experience, or key relationships.
- Stay up-to-date with the latest developments and services in GCP and Azure related to data and analytics.
- Familiarity with version control systems and DevOps practices in the context of cloud-based data projects.
Travel and Work Schedule: Limited travel requirements (