Data Quality Analyst
Lead end-to-end data quality and governance processes, mapping business processes, defining KPIs, and working with DWH, Data Lake, and core systems. Write complex SQL queries, identify anomalies, and drive quality improvements across teams.
Responsibilities
- Lead end-to-end data quality processes and data controls.
- Understand, map, and analyze complex business processes and define KPIs.
- Locate data sources and work with DWH, Data Lake, and core systems.
- Write and execute complex SQL queries for data analysis and insights.
- Lead meetings with business and technical stakeholders and drive interfaces.
- Define data controls, identify anomalies, and propose solutions.
- Work independently, rapidly learning new domains and processes.
Requirements
- At least 5 years of experience writing complex SQL queries.
- Experience with ETL processes.
- Experience working with large databases (Big Data / DWH / SQL / MongoDB).
- Ability to independently develop, retrieve, and investigate data across all data layers.
- Experience leading end-to-end analytical processes.
- Ability to quickly understand complex business processes.
- Assertiveness and ability to drive tasks with business and technical stakeholders.
- Ability to work independently, high initiative, and self-learning.
- Ability to work on multiple tasks in parallel.
Nice to have
- Familiarity with QUILLIUP or similar data tools.
- Experience in Data Quality domains.
- Experience working with Data Lake.
Benefits
- Take part in high-impact Data Quality, Data Governance, and AI projects.
- Work with Data Lake, DWH, and complex information systems in a large organization.
- Independent role combining business understanding, analytics, and hands-on SQL.
- Work with a wide range of business and technical interfaces, influencing data quality.