Data Analyst with Python

Description

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 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: 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 Interested? Apply!

Responsibilities

• 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 &amp

• 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 &amp

• 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 &amp

• create the processes required to answer questions and resolve issues Comfortable presenting analysis &amp

• 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 Interested? Apply! #LI-DNI #1200510 - Weronika Opozda

Informacje dodatkowe

• Nr ref.: 1200510

• Lokalizacja: Kraków

• Rodzaj pracy: Stała