Data Analyst/Scientist RaboResearch Food & Agribusiness
at Rabobank
3521 Utrecht, Utrecht, Netherlands -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 04 Oct, 2024 | ANG 3711 Monthly | 05 Jul, 2024 | N/A | Good communication skills | No | No |
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Description:
s Data Analyst/Scientist Food & Agribusiness at RaboResearch F&A you, together with more than 70 F&A colleagues globally, generate data-driven insights, (proprietary) data sets, and models, which are used for our research, publication client meetings, and the bank itself.
YOU AND YOUR TALENT
Ideally, we are looking for an Agricultural or Applied Economist with Data skills – in practical terms, you’ve built maintainable analytical models in Python that have been used to look at topics at any stage along the value chain from production-based ag to the consumer foods sector (farm to fork). Projects will include working on sector based models to cultivating proprietary data and tools (e.g. dashboards).
The team practice is a hybrid between agile and consulting – a person who thrives will take complex problems, break them into parts, and deliver the highest value-added first. Evaluation will be based on an interview, a code sample, and a technical presentation.
- A solid foundation of statistics, preferably agricultural econometrics, and modelling. (for example MSc in business information management, agricultural or applied economy, econometry)
- An enthusiastic team player, who is willing to embrace and share knowledge and expertise
- Initiates improvements and contributes to their realization and can set up data research autonomously following the research question
- Strong interpersonal skills to build and maintain relationships within and outside RaboResearch and to communicate research results effectively to clients and (internal) stakeholders
- Involved in identifying and advising on complex insights, modelling experience (foundational/intermediate level )in real-life business settings with traditional (structural/econometrics) and algorithmic (statistical/Bayesian) approaches
- Experience in Azure-based environments, strong hands-on programming skills (Python) and experience in setting up data pipelines
- Fluent in English, both verbally and in writing. Proficiency in Dutch is considered an advantage
Responsibilities:
- Work closely together with F&A analysts and fulfil research needs with efficient or innovative solutions. Think along and challenge domain experts in the creation of unique research using your technical knowledge.
- Clearly define the objectives and timelines of your projects and the steps to take. Share the progress and project results with your main stakeholders regularly.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
3521 Utrecht, Netherlands