Data Analyst with Python

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. Location: Cracow Hybrid work model after stationary training (2/3 days from the office) Temporary contract of employment – till December 2027 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 activitiesAd-hoc and regular customer analysisAssisting the execution of customer migrations through data and analytical skillset, advising on data-driven conclusionsCommunicating with a wide range of stakeholders regarding project requirements, interpretation of data, and the development of recommendations based on findingsCollaboration with stakeholders across functions and countriesWorking in a team of analysts, regularly aligning on project requirements & process changesDevelopment & maintenance of core datasets used by the Analytics team across the projectIdentification and resolution of data issuesWorking with a wide range of data-sources – including liaising with SMEs to identify new data sourcesEvaluation of project performance, utilizing transactional data sources & survey results What do you bring with you: English - advanced (min. C1)Strong knowledge of Pythonexperience working in Databricks - nice to have+3 years of experience in a similar position/ areaExcel expert, comfortable with Power Point presentationsComfortable working in a dynamic and fast-paced environmentStrong problem-solving skills – ability to locate the sources & create the processes required to answer questions and resolve issuesComfortable presenting analysis & results to varying audiencesKnowledge of data structures and the ability to enhance the data to be integrated across the businessWorking in a team with other analysts – aligning on data sources with continual improvement of the data infrastructureWork across multiple data sources e.g. customer segmentations, operational data, IT dataStrong understanding of data validation, analysis, problem solving and error checking techniquesNice to have: SAS Enterprise Guide experience will be considered as advantageExperience working with Asana, GitHub What do we offer: Attractive compensation packageTraining to get you started and on-the-job learning opportunitiesExtensive learning resources to further develop your skills and knowledgeTuition Assistance ProgramGreat career opportunities Interested? Apply!