

Data Analyst with Python
Lokalizacja
Kraków, Stare Miasto
Wymiar pracy
Pełny etat
Typ umowy
Umowa o pracę
Lokalizacja
Kraków, Stare Miasto
Opis
Join FedEx, the world’s largest express transportation company, as a Data Analyst! We’re looking for motivated individuals skilled in Python, ready to grow in a dynamic, international environment.
Hybrid work model after stationary training (2/3 days from the office)
Temporary contract of employment – till December 2027
The formal contractual job title is ACE Marketing Analyst.The minimum salary for this position is 10 689 zł gross.
What you will be doing:
Customer segmentation to accelerate the migration of customers – identifying eligible customers based on business value in the context of Integration activities
Ad-hoc and regular customer analysis
Assisting the execution of customer migrations through data and analytical skillset, advising on data-driven conclusions
Communicating with a wide range of stakeholders regarding project requirements, interpretation of data, and the development of recommendations based on findings
Collaboration with stakeholders across functions and countries
Working in a team of analysts, regularly aligning on project requirements and process changes
Development & maintenance of core datasets used by the Analytics team across the project
Identification and resolution of data issues
Working with a wide range of data sources – including liaising with SMEs to identify new data sources
Evaluation of project performance, utilizing transactional data sources & survey results
What do you bring with you:
What do you bring with you:
English - advanced (min. C1)
Strong knowledge of Python
+4 years of experience in a similar position/ area
Excel expert, comfortable with PowerPoint presentations
Comfortable working in a dynamic and fast-paced environment
Strong problem-solving skills – ability to locate the sources & create the processes required to answer questions and resolve issues
Comfortable presenting analysis & results to varying audiences
Knowledge of data structures and the ability to enhance the data to be integrated across the business
Working in a team with other analysts – aligning data sources with continual improvement of the data infrastructure
Work across multiple data sources, e.g. customer segmentations, operational data, IT data
Strong understanding of data validation, analysis, problem-solving and error checking techniques
Nice to have:
SAS Enterprise Guide experience will be considered as an advantage
Experience working in Databricks
Experience working with Asana, GitHub
What do we offer:
Attractive compensation package
Training to get you started and on-the-job learning opportunities
Extensive learning resources to further develop your skills and knowledge
Tuition Assistance Program
Great career opportunities
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