Senior Data Analyst (Java and Big Data Unit)

Czech Republic Europe Poland Portugal Remote Ukraine Data Analysis Data Science Engineering Subcontract

Required skills

Python / strong
Analytics tools / good
Machine-learning instruments / good
German / strong

We are looking for a motivated and self-driven person to join one of the most dynamically growing business units, Web and Mobile Solutions, that unites almost 400 professionals in various technologies. Projects and customers are quite versatile as well: we have a long-term partnership with enterprises, but we are also a unit that works with startups a lot. Our active and energetic team gets driven by an ever-changing startup environment and an atmosphere of adventures. 


As a Senior Data Analyst, you will be a part of ourBig Data Center of Excellence. It means that besides a project activity, you will have an opportunity to be involved in other different activities related to Data direction like pre-sale activities, technical excellence contribution, and other CoE related activities.  


  • At least 4+ years of experience  
  • Strong knowledge of Python  
  • Experience in Visual Analytics tools like Tableau, Power BI, Qlik  
  • Data stewardship; ensuring high quality, accurate, and consistent reporting. Working cross-functionally as required  
  • Strong communication experience with clients/business stakeholders  
  • Strong experience in delivering presentations, delivering key points from data analysis  
  • Good knowledge of machine-learning instruments and algorithms (strong in exploratory data analysis and feature engineering) 
  • Experience in implementing and delivering data science/data analytics solutions with business impact  


Will be a plus:

  • Knowledge of German language  
  • Experience in Deep Learning  
  • Experience in business analytics/customer facing roles/product ownership  


  • Collecting, organizing, and analyzing data 
  • Troubleshooting data issues 
  • Developing reports, communicating results, and support process improvement strategies 
  • Participating in design and implementation of solutions for a business domain, using data analytics and data science tools, and instruments to deliver data insights and transform them into business insights and decisions 


  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities


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