Main dutiesManagement of regulatory and reference information (NRI):support, update and development of directories in corporate systems (nomenclature, counterparties, locations, financial objects, organizational structure, etc.);ensuring relevance, completeness and consistency of records between systems;participation in agreeing changes with responsible business units;unification of data and creation of golden records for directories across different domains.Formation of data domains:definition
Main duties
Management of regulatory and reference information (NRI):
- support, update and development of directories in corporate systems (nomenclature, counterparties, locations, financial objects, organizational structure, etc.);
- ensuring relevance, completeness and consistency of records between systems;
- participation in agreeing changes with responsible business units;
- unification of data and creation of golden records for directories across different domains.
- Formation of data domains:
- definition of the list and boundaries of domains (directions: Nomenclature, Locations, Personnel, Finance, Assets, Counterparts, etc.);
- creation and documentation domain structures;
- providing relationships between entities within the domain.
- Development of a master data structure:
- building a data model with the definition of entities, attributes and relationships;
- determining (together with domain experts) the minimum required and additional attributes for each domain;
- setting mandatory fields, formats and rules validation;
- Development of naming rules and unification:
- creation of standards and templates for names of directory objects;
- description of code formats and abbreviations that ensure the uniqueness and readability of records;
- development of recommendations for filling text and numerical fields.
- Data quality control:
- monitoring integrity and uniqueness of records in directories;
- detection and elimination of duplicates, errors, inconsistencies;
- formation of reporting on data quality indicators;
- participation in the implementation of quality control tools (Data Quality Checks, Power BI dashboards, etc.).
- Development of master data management processes:
- participation in the development of policies, regulations, procedures and roles in the data management system;
- construction of master data management processes;
- documentation of business requirements, data schemas, user instructions;
- participation in training employees in the principles of maintaining regulatory and reference information;
- preparation of proposals for improving processes, automation and integration.
- Participation in digital transformation projects:
- participation in projects from the implementation or development of corporate systems (ERP, CRM, HRM, DWH, MDM);
- ensuring the consistency of directories between systems;
- testing and checking the quality of data during migration or integration.
Requirements:
- Higher education in the field of information technology, analytics, economics, management or related areas.
- Work experience from 2 years in the position of a research engineer or data-officer
- Understanding the concepts of Master Data Management (MDM) and Data Governance.
- Knowledge of the principles of classification, structuring and attribute description of data.
- Ability to describe data models, define entities, attributes, relationships between directories.
- Skills in creating naming rules and coding elements of research research.
- Knowledge of the basics data quality control (duplicate detectiontives, integrity checks).
- Experience with corporate systems (ERP, CRM, HRM, BI) and databases.
- Proficiency in Microsoft Excel, including Power Query and Power Pivot.
- Experience with Power BI for reporting and data quality monitoring preferred.
- Basic knowledge of SQL or database design principles.
- Ability to formulate business requirements and create technical documentation.
It will be an advantage
- Experience in the implementation of ERP systems or MDM solutions.
- Knowledge of corporate classifiers (UKTZED, ISO, OKPO, etc.).
- Understanding data architecture (Data Model, Entity Relationship).
- English - Intermediate +
Working conditions:
- Official employment in compliance with the Labor Code of Ukraine
- 8-00-17-00 (Saturday, Sunday - weekend)
- Corporate buses for transporting staff to work and home
- Free lunches
- Timely payment of wages