Trwa ładowanie. Prosimy o chwilę cierpliwości.
Michael Page
Data aktualizacji: 2019-05-13
Data Analyst
Nr ref. 33698_MP_PL
Aplikuj
Kraków, małopolskie
BPO/SSC, Analiza
Data aktualizacji: 2019-05-13 Aplikuj
Michael Page
Data Analyst

Data Analyst


Kraków33698_MP_PL

Our Client is a company well known and respected by everyone in the world. Their core business has influence over millions of people every year. As a part of their global strategy of improving their business processes, they are expanding their present structures in Poland. Currently, they would like to hire flexible people with analytical mindset and numeric skills.
What's on Offer
  • Annual bonus
  • Private health care
  • Multi-benefit card
  • Open social budget for employees
  • Language courses
  • Common parties
Job Description
  • Develop and implement People Analytics for questions of high strategic/economic importance for the Group
  • Define and develop processes, methods and competencies (Big Data, Machine Learning, Social Network Analysis, etc.) and data requirements
  • Acquire and integrate data, build models and implement analytical prototypes or operational solutions
  • Use the experience (e.g. data & text mining, simulation & forecast models, pattern analysis) to implement new ideas and solutions
  • Creation, automation and standardization of important reports to the specified deadlines
  • Presentation of results in combination with conclusions and their practical applications for the company
  • Translation of data and trends using tangible models, metrics, and effective visualization
  • Keep up-to-date by exploring new technologies and search for best practice and benchmark approaches
  • Usage of statistical methods to support the preparation and assessment of validated data and predictive models
The Successful Applicant
  • Master/Bachelor degree (Mathematics, Statistics, Economics, Information Technology or similar is preferable)
  • Professional knowledge in the implementation and application of digital analytics or data mining solutions
  • Good knowledge of data acquisition and preparation, exploration and modelling (e.g. KNIME, Rapid Miner, Python, R) as well as data visualization (e.g. Tableau, Qlik)
  • Very good user knowledge in Excel and MS Access
  • Good knowledge of databases (e.g. Oracle, MySQL, Teradata)
  • Fluent English
  • Analytical and conceptual mindset
  • Flexibility and adaptability
  • International travel required up to 20%

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