Data analyst in DNIPRO-M, OOO

Hello, our future colleague!

Interesting facts about us:

• We are from Ukraine and are already represented in the European market, namely in: Poland, Czech Republic, Hungary and Spain
• Branded salon network 600+
• Service network centers140+
• #1 among the tool's monobrand networks

What awaits you?

• Our employees have a loyalty program from WOG and OKKO companies: discounts on fuel and products;
• We have our own Academy of Corporate Education, where you will receive the development of professional and personal qualities, as well as interesting trainings and business events;
• The possibility of career growth both vertically and horizontally;
• Cashback 30% from the purchase of Dnipro-M products;< /li>
• Unlimited coffee, tea, fruit, goodies;
• Working schedule: 09:00-18:00, 5/2;
• Transfer to and from T. Shevchenko subway;
• A friendly team that will always help and support;
• Own football team;

What do we expect?

Programming languages ​​and tools:

• Confident knowledge of SQL: writing complex queries, optimizing performance, working with databases (MySQL, PostgreSQL, MS SQL).
• Experience with programming languages ​​for data analysis ( Python, R): use of libraries for data processing and analysis (pandas, numpy, matplotlib, seaborn).
• Knowledge of data visualization tools (Tableau, Power BI, Google Data Studio): creation of interactive dashboards andIT.

Knowledge in the field of statistics and machine learning:

• Understanding the basics of statistics (regression analysis, correlation, probability).
• Basic knowledge of machine learning methods learning (linear regression, clustering, classification).
• Ability to interpret model results and visualize them.

Working with a large amount of data:

• Experience working with large data sets and tools for data processing (Hadoop, Spark, Google BigQuery) will be an advantage.
• Knowledge of ETL technologies for data integration and processing.

Business analytics:

• Understanding of business processes, ability translate business tasks into requirements for data analysis.
• Experience working with various departments to develop reporting and analytical solutions.

Cloud services:

• Experience with cloud platforms (AWS, Azure, Google Cloud) for data storage and processing.
• Using cloud analytics and machine learning tools (Azure ML, AWS SageMaker) .

Don't hesitate - leave a review, we are waiting for you in the Dnipro-M driving team!