We offer you a unique opportunity to become part of the friendly MRIYA team – the most prestigious resort in Crimea, located in a picturesque spot on the Black Sea coast with a stunning view and 300 sunny days a year.
We are part of the SBER ecosystem.
Due to company expansion, we are looking for a Data Analyst.
What we offer:
- Official employment according to the Labor Code of the Russian Federation.
- Work schedule: 5/2.
- Annual bonuses based on performance.
- Corporate housing or accommodation compensation for non-residents.
- Relocation compensation after the probationary period (3 months).
- Corporate transport to and from work (Yalta, Greater Yalta, Sevastopol).
- Free meals in the corporate restaurant.
- On-site and online training, talent development programs, corporate library.
- Active corporate life: events, excursions and hikes around Crimea, hobby clubs, training in 13 sports (tennis, table tennis, swimming pool, fitness, yoga, crossfit, football, volleyball, basketball, etc.).
- Special offers on accommodation and other services and goods of the complex.
- Referral bonuses for recommending friends to the MRIYA team.
- Sberbank corporate products regarding mortgages - preferential lending or refinancing.
- Special offers for employees from company partners and much more!
Key tasks:
- Independent collection and analysis of business customer requirements.
- Recording requirements in the form of specifications for reports/data marts in Confluence.
- Development and support of dashboards and regular reporting on key performance indicators in BI systems.
- Maintaining the relevance of existing reports and dashboards.
- Participation in the development of the data catalog, data quality control.
- Providing support to users when working with analytical reports and tools.
Candidate requirements:
- Solid SQL knowledge.
- Experience with BI systems (Power BI, Qlik Sence, Visiology, Navigator) at the implementation and support level.
- Understanding of DWH, ETL/ELT processes.
- Knowledge of basic statistics and data analysis methods.
- Knowledge of Python for data analysis will be an advantage.
- Basic knowledge of Data Catalog management (OpenMetadata, DataHub or similar).
- Data visualization, communication, and presentation skills.
- Attention to detail, analytical thinking, ability to work in a team.
