Data Analyst
Data
Data Analyst
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office
Tech stack
R
Python
SAS
Job description
Online interview
Data Science Hub based in Warsaw is a place where we develop innovative solutions in the field of quantitative methods and apply it in the exciting world of globally connected Nestle Supply Chain and beyond.
Key responsibilities:
Key responsibilities:
- Independent work dedicated to exploration and analysis of data
- Development of appropriate data flows, visualizations, statistical and machine learning models to deliver business benefits
- Lead dedicated projects including results presenting for the stakeholders
- Support the continuous improvement of Ways of Working of the whole team – based on internal and external examples of best practices and feedback from the project stakeholders
- Involvement in innovative projects in various areas within Nestlé
Expectations towards candidates:
- At least 1 year of experience in similar position
- Master’s degree in Statistics, Econometrics, Mathematics, Computer Science, Big Data or similar studies
- Experience in tools for statistical analysis: R, Python, SAS or others
- Experience in application of statistical techniques and concepts (statistical tests, regression, feature selection, time series modeling, etc.) in the business environment
- Experience and independence in processing and analyzing large amounts of data
- Basic knowledge of machine learning techniques (clustering, decision trees, boosting, etc.)
- Good communication and presentation skills and willingness to grow
- Ability to explain complex analytical concepts to non-technical audience
- Ability to work with different organizational levels
- Willingness to work in an international environment
- Fluent English is a must
Our offer
- Interesting work within a dynamically growing FMCG company
- A chance to develop your career across a number of diverse, growing functions (both locally and abroad)
- Development of the skills through continuous competency building and trainings
- Collaboration within an international analytical community
- Flexible working hours, possibility to work remotely
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