Data management analyst in Ukrenergo, NEK

Data management analyst,

join the Ukrenergo team of professionals!

We are the Ukrenergo National Energy Company:

• a team of nearly 8,000 employees with unique professional experience;
• electricity transmission system operator, which is part of the ENTSO-E power system of continental Europe;
• modern, a transparent national company that constantly modernizes its networks and introduces new technologies;
• since 1998, we guarantee the reliability of energy supply to consumers and the energy security of the state.

We offer:

• Stability: formal employment, regular and transparent wages, monthly and annual performance bonuses, paid holidays and hospital.
• Development: corporate trainings, professional training, distance learning system.
• Large-scale projects: network development projects, IT projects, implementation of Ukrainian laws in the field of energy in accordance with EU standards .
• Balance of work and personal life: flexible work schedule, possibility to work remotely.
• Additional guarantees: corporate doctor, parenting support, payments to mobilized colleagues, annual financial assistance for recovery.
• Possibility of booking.

Main tasks:< /strong>

• Consolidation of information from various internal systems;
• Development and improvement of internal data collection systems; 
• Coordination of databases of structural divisions in data management processes;
• Ensuring implementation and integration of reference libraries and classifiers into automated information and analytical systems; 
• Analysis of received information, assessment of its relevance in accordance with the company's strategy; 
• Monitoring of price offers and analysis of the cost structure of goods/works/services; 
• Creation, updating, analysis and visualization of databases; 
• Preparation of analytical reports to support management decisions.

Our expectations:

• Knowledge of architecture modeling principles data; 
• Experience with Big Data; 
• Knowledge of creating reference libraries and classifiers in automated information and analytical systems; 
• Knowledge of methodology and analysis tools by functional direction; 
• Knowledge of the principles of data migration and detection of quality indicators of objects; 
• Knowledge of the principles of operation and how to configure tools for data visualization;
• Owning tools for data architecture modeling; 
• Ensuring the preparation of informational and analytical and reference materials; 
• Ability to use modern information technologies and means of communication;
• Systematic, responsible, ability to determine priorities, strong analytical skills; 
• Ability to work in a team; Communicability, not conflict.
• Microsoft office (Word, Excel + Power Query, PowerPoint, Access, )
• Knowledge of SQL Power BI structured query language.