Strona główna

Recruitment process for this position and onboarding trainings are conducted online.

What do you need to start?

• Data elaborate (relational and non-relational databases)
• Know-how of data structures & models
• Experience with SQL & data visualization (Power BI, Tableau, etc.)
• Strong analytical skills
• Experience with ETL processes
• Experience with process mining solutions (like UiPath, Celonis, ARIS, SAP Signavio, ProM) is an asset
• Higher education, preferred quantitative methods, econometrics, mathematics, statistics or related, IT
• Knowledge and skills regarding issues related to data analysis and creating analytical models (statistical / data mining / machine learning / data science) / detecting fraud (networks of connections)
• Proficiency in English is a must (other languages: German, French, Spanish… is an asset)

What duties will help you grow?

• Business solutions concept development with applied analytics and data driven products
• Identification of business benefits for the implemented business scenarios
• Identify process inefficiencies and quantify the impact
• Technical set up and connecting data in process mining tools
• Map business goals with data
• Conduct Process Mining and Process Modeling using data-driven, automated, visual tools
• Work with the business to understand data analysis requirements
• Write SQL code to connect to a process in process mining tools
• Configure data jobs, loads and data models
• Implement process transformation with opportunities identified and prioritized

• Design & deliver data models/schemas
• Design, build and maintain data pipelines that create efficient data science & data analyst datamarts, ensuring solutions are optimised for processing of typical queries and reducing repetitive processing
• Develop approaches to democratise and industrialise analytics and data science capabilities
• Identify & implement ways to increase efficiency & improve data reliability through automation
• Complete all relevant testing to ensure code is de-bugged and the datamarts and tools are robust and accurate
• Based on requirement, make recommendations on how data should be structured in order to deliver optimum user experience at the right speed while minimising platform cost
• Create and maintain both tech & user documentation (incl. data dictionaries)
• Provide coaching and guidance to junior data engineers
• Report on data quality and recommend ways to increase data cleanliness and improve our cleansing activities
• Recommend methodologies for matching and transforming data
• Recommend improvements in consumer journeys in order to capture and match greater volumes of data

What have we prepared for you?

• Development programs, external courses & conferences, co-funding for certificates, NEXT platform with free access to TED talks, Coursera materials, articles and virtual trainings: MS Azure, AWS, Google Cloud or ServiceNow.  
• You will have possibility to join various technical communities.
• Flexible working hours thanks to a variety of projects. Ask your recruiter about possible options.

• Well-being package (private medical care, additional life insurance & StayWell helpline).
• Referral bonuses for recommending your friends to Capgemini.
• Inspiro Audiobooks & Nais access. 
• Offices in great locations, car leasing program. 

Who are we?