The company is an official distributor of household appliances, electronics and dishes of the Delonghi, Kenwood, Braun, Gorenje, Kitchenaid, Kela, TVS, BergHOFF and other brands. In connection with development and expansion, "Data analytics"Our expectations from applicants:Professional education in the fields of mathematics, statistics, computer science or economics;Work experience in the field of analytics will be an advantage;Knowledge of the principles of analytics data;Ability to work with a
The company is an official distributor of household appliances, electronics and dishes of the Delonghi, Kenwood, Braun, Gorenje, Kitchenaid, Kela, TVS, BergHOFF and other brands. In connection with development and expansion, "Data analytics"
Our expectations from applicants:
- Professional education in the fields of mathematics, statistics, computer science or economics;
- Work experience in the field of analytics will be an advantage;
- Knowledge of the principles of analytics data;
- Ability to work with a large amount of information;
- Skills of successful communication;
- Ability to work in a team;
- The desire to develop and grow professionally;
- A confident user MS Office, 1С8.3, SQL, Python/R, Power BI.
salary (twice a month);
Work in a modern office with comfortable working conditions (coffee:-);Schedule: from 9 a.m. to 6 p.m., Monday - Friday;Team events (rest, holiday business lunches);Professional and career growth;Working in a stable Company with strong development.Tasks and functions of the position:
- Extraction of information from various sources (databases, files, API), as well as cleaning and structuring raw data.
- Finding patterns, trends, and anomalies in data, as well as identifying relationships and cause-and-effect relationships.
- Creating clear dashboards, graphs, and reports that illustrate analysis results for stakeholders.
- Developing and testing hypotheses to improve products or business processes.
- Providing recommendations to management and teams based on analytics to make informed decisions.
- Finding deviations or inaccuracies in data that may indicate problems or opportunities for the business.
If you are interested in the vacancy and you have the relevant experience, we are waiting for your resume and we will be glad to cooperate! We are also ready to answer all additional questions!