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;
• Network of branded salons 550+
• Network of service centers 140+
• #1 among the tool's monobrand networks

What's in store for you?

• The loyalty program from the WOG company is in effect for our employees: 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;< /li>
• 30% cashback on the purchase of Dnipro-M products;
• ?Unlimited coffee-break, tea, fruits, goodies;
• Working hours: 09:00-18:00 (hybrid/office);
• Transfer to and from T. Shevchenko subway;
• Competitive salary;
• A friendly team that will always help and support;

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 and reports .

Knowledge in statistics and machine learning:

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

Working with a large amount of data:

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

Business analytics:

• Understanding of business processes, ability to translate business tasks into requirements for data analysis.
• Experience of collaboration 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 to leave feedback,we are waiting for you in the Dnipro-M driving team!