Data Analyst with Python

Do you like working in a young dynamic team and in an informal, friendly environment? Is Java your passion and do you want to further develop it and apply your knowledge and experience in an interesting project? Then this offer is just for you!

Prague English

Data IT Analyst


About the company

Our client is a world leader in its field, deals with data analysis in the field of IT, development of various tools and applications, and cooperates with major global clients not only from IT, but also from other fields.

Role description

Responsibilities
– Develop advanced analytics, predictive models and machine learning algorithms and protocols
– Analyze business impact and market trends of diverse data set and their impact on the ICT market
– Drive the integration of new data sources into existing research process and proprietary systems
– Design and deliver reports that present the business narratives represented by the data
– Assists in preparing project requirements by analyzing user requirements and coordinating with other project teams

Qualifications
– Bachelor Degree or equivalent in Mathematics, Computer Science, Statistics or Information Management
– 1+ years of experience in data management, analysis or functions related to data analysis problems
– Demonstrated strong technical knowledge in various data models, data mining, database design development, and data classification tools like Python (Pandas, Numpy, Scipy, NLTK), Graph Database, Elastic Stack or Triple Stores
– Experience in knowledge engineering including Ontologies, Semantic Web, or Concept Networks
– Proven ability to work independently and ensure completion of tasks accurately and on time
– Strong English communication skills in both verbal and written
– Open to learn and test new data mining technologies

What We Offer

Contact

– Modern offices in Prague
– Regular internal and external training
– English courses
– Work on international projects, communication in English
– Team building events and “release” parties
– Home office once a week
– 25 days holiday and 3 days sick days
– Flexipassy / Meal vouchers
– Cafeteria

Apply now

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