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Data analyst in DNIPRO-M, OOO

29 January

56 views

DNIPRO-M, OOO

DNIPRO-M, OOO

0
0 reviews
Without experience
Kyiv
Full-time work

Translated by Google

Hi, our future colleague! network of branded salons 600+ #1 among the tools of the tool ul> What is waiting for you? For our employees, Loyalty from WOG and OKKO : Discounts on fuel and products; FONT-Weight: 400; FONT-STYLE: Normal "> We have our own Corporate Education Academy where you get the development > Career growth both vertical and horizontal; Casheck 30% from buying Dnipro-M ; /l> unlimited coffee, tea, fruits, flavors ; Work Schedule: 09: 00-18: 00

Hi, our future colleague!

  • network of branded salons 600+
  • #1 among the tools of the tool
  • ul>

    What is waiting for you?

    • For our employees, Loyalty from WOG and OKKO : Discounts on fuel and products; FONT-Weight: 400; FONT-STYLE: Normal "> We have our own Corporate Education Academy where you get the development >
    • Career growth both vertical and horizontal;
    • Casheck 30% from buying Dnipro-M ; /l>
    • unlimited coffee, tea, fruits, flavors ;
    • Work Schedule: 09: 00-18: 00, 5/2;
    • Transfer to and from Metro T. Shevchenko;
    • Friendly team that will always help and support;
    • Own football team ;

    What will you do?

    programming languages ​​and tools:

    • Data Analysis Experience (Python, R): Use Libraries for Data Processing and Analysis (Pandas, Numpy, Matplotlib, Seaborn).
    • Knowledge of tools to visualize data (Tableau, Power Bi, Google Data Studio): Creating Interactive Dashboards and Reports. : 700 "> Knowledge in Statistics and Machine Learning:

        Basic knowledge of machine learning methods (linear regression, clustering, classification).
      • The ability to interpret the results of models and visualize them. : 700 "> Work with a large volume of data:

        Business analytics:

        • Understanding business processes, the ability to translate business tasks into data analysis requirements. > Experience in cooperation with different departments for reporting and analytical solutions.

        Cloud Services:

        • Use of cloud tools and machine learning tools (Azure ML, AWS SageMaker).

        Don't Heat-Lichen Review,

    Translated by Google

    Without experience
    Kyiv
    Full-time work
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