O projekcie:
We are looking for a Data Analyst with strong SQL skills to join a data-focused project in the banking sector. In this role, you will work with data stored in a data warehouse, analyze and model data, verify data flows, and support the integration of new data sources. This is a great opportunity for someone with at least 2 years of commercial experience in data analysis who wants to further develop their technical and analytical skills in a large-scale data environment.
Wymagania:
- At least 2 years of commercial experience as a Data Analyst, SQL Analyst, Data Warehouse Analyst, or in a similar data-focused role
- Very good practical knowledge of SQL
- Previous work in data analysis, data validation, and working with large datasets
- Understanding of relational databases and data warehouse concepts
- Ability to analyze data structures, relationships, and data flows
- Experience in translating requirements into data-related solutions
- Good analytical and problem-solving skills
- Good command of English
- Fluent Polish
- Residency in Poland
Nice-to-have
- Experience with Teradata
- Understanding of ETL processes and data integration
- Previous work with Data Warehouse (DWH) environments
- Experience in the banking or financial services sector
Codzienne zadania:
- Analyzing data and translating business requirements into data solutions
- Writing SQL queries for data extraction, analysis, validation, and transformation
- Analyzing and modeling data available in the data warehouse
- Mapping data and identifying relationships between different data sources
- Supporting the integration of new data sources into the data warehouse
- Analyzing existing data flows and verifying that data is processed correctly
- Investigating data discrepancies and identifying their root causes
- Validating data quality, completeness, and consistency
- Supporting testing of changes introduced within the data warehouse
- Preparing documentation related to data structures, mappings, and implemented changes
- Cooperating with business and technical teams to clarify data requirements