Privatbank span> who seeks to work in a dynamic environment and shares values of mutual trust, openness and initiative. Quality and result. FONT-Weight: 400 "> Basic responsibilities: Collection and Analysis of DWH and Analytical Reports Develop a conceptual model, identify entities, directories, dependencies and connections Creation and filling of glossaria and dictionary Project : Development of a logical model and participation in the development of a physical model Pr
Privatbank span> Basic responsibilities:
Collection and Analysis of DWH and Analytical Reports Develop a conceptual model, identify entities, directories, dependencies and connections Creation and filling of glossaria and dictionary Project : - Development of a logical model and participation in the development of a physical model
- Project ETL processes and a description of rules and data transformation policies
- Development of test covers
Development and testing:
- ETL processing testing
- Development of prototypes of reports and dashboards
implementation and accompaniment:
- User Training
- Support for users
- Monitoring data quality
- Development of new reports and analytical models
Basic requirements:
- Higher Education (Technical or Financial/Economic Education)
- DBMS Experience (Ability to Write SQL-Requests and Work with Database Companies
- Experience in data integration projects
- Professional knowledge and skills in the field of collecting, processing and analyzing requirements
- Experience of researching data sources, information systems and refactoring business processes of large companies
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- Knowledge of business process description notations (eg BPMN). Ability to describe processes and systems in notations of UML (Activity Diagram, Sequance Diagram, DFD, etc.)
- Skills API)
- Knowledge of English at Intermediate (B1)-you will have to communicate with representatives of Western companies daily
- experience of participating in the projects of implementation of DWH in banks, insurance companies and financial companies
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- knowledge of data: understanding of different types of data: In different situations
- , knowledge and understanding of industrial data models
- understanding the requirements for software development. Types of requirements (business/custom/system, functional/non -functional, etc.)
- Knowledge of software development life cycle (SDLC): collecting and analyzing requirements, projection, development, testing, implementation, support
- Other
- Ability to describe processes using flowchart
- Statistical methods: Knowledge of statistical methods of data analysis and approaches to data analysis
- Knowledge of regulatory requirements: understanding of NBU regulatory documents and other regulators concerning the collection of information. indicators, credit risks, market data
- Knowledge of the basic models of software development (waterfall, iterative). Basic Methodologies (Agile, Scrum, Kanban)
- ETL Proscass Knowledge: Understanding Data Transformed and downloaded into DWH
- Knowledge Models
- Experience with cloud platforms as user: AWS, AZure, Google Cloud
- Knowing Basic Teaching Methods: Allows you to create predicted models and identify hidden patterns in data
- Solving Problems: The ability to analyze difficulties. To logical thinking, analyzing large volumes of data and identifying patterns
- Carefulness to details: Data mistakes can lead to incorrect conclusions
- Communicative: the ability to communicate effectively with different categories of users, from business analysts to technical specialists Technology
- Confidentiality: Understanding the importance of protecting confidential banking information
pWe offer to the employees: span>
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Work in the largest and innovative Bank of Ukraine
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- official employment. Paid vacation and hospital span>
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Competition wage and premium by indicators span>
- Health Insurance and Corporate Mobile Communication
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Interesting and large-scale projects span>
[email protected] span> . PrivatBank experts will provide advice and support during the selection process and after employment.