We are looking for an attentive and systems professional to help maintain data quality, work with internal reports and participate in data integration tasks. The role will suit a candidate with initial experience in working with data and a desire to develop in the direction of Data Quality and Data Governance.Main responsibilitiesRegular data quality check: search for duplicates, omissions, incorrect formats (dates, codes and other typical errors).Formation of reports and samples (Excel / SQL /
We are looking for an attentive and systems professional to help maintain data quality, work with internal reports and participate in data integration tasks. The role will suit a candidate with initial experience in working with data and a desire to develop in the direction of Data Quality and Data Governance.
Main responsibilities
- Regular data quality check: search for duplicates, omissions, incorrect formats (dates, codes and other typical errors).
- Formation of reports and samples (Excel / SQL / BI) for internal teams.
- Participation in analysis of incidents with data: collection of examples, description of problems, registration in the tracker and monitoring of the status of correction.
- Performance of basic tasks of ordering and reconciliation of data between systems: comparing reports, checking the correctness of downloads.
- Maintaining and updating data documentation: instructions, descriptions of sources, flow charts.
Requirements for candidate
- 1-2 years of experience working with data (data analyst, reporting specialist, operational or financial/risk analyst or related roles), preferably in the financial or banking sector.
- Basic SQL skills: writing simple SELECT, JOIN, filtering and aggregations.
- Confident level of Excel / Google Sheets: working with formulas, filters, pivot tables.
- Understanding of key data concepts: directories, transactional and reporting data, the difference between the "source of truth" and derived reports.
- Attention to detail and the ability to quickly notice inconsistencies in formats, numbers, codes.
- Documentation preparation skills: structured presentation of information, working with field descriptions, screenshots and examples (Confluence or similar tools).
- Willingness to develop in in the fields of data governance, data quality, metadata management in practice.