L
Data Quality Analyst
·Israel
HybridFull-timeData EngineeringFinTech
Full-time, hybrid Data Quality Analyst role in Tel Aviv. Lead end-to-end data quality processes, map complex business processes, define KPIs, write complex SQL queries, work with DWH, Data Lake, big data and MongoDB, and drive data governance. Requires 5+ years of SQL and hands-on ETL experience.
Responsibilities
- Lead end-to-end data quality processes and data controls
- Understand, map, and analyze complex business processes; define KPIs
- Identify data sources and work with DWH, Data Lake, and core systems
- Write and run complex SQL queries for data analysis and insights
- Lead meetings with business and tech stakeholders, drive interfaces
- Define data controls, identify anomalies, and propose solutions
- Work independently, quickly learn 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 research 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 tech stakeholders
- Ability to work independently, with high initiative and self-learning
- Ability to multitask
Nice to have
- Familiarity with QUILLIUP or similar data tools
- Experience in Data Quality domains
- Experience working with Data Lake
Benefits
- Take part in impactful 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
- Work with diverse business and tech interfaces, impacting organizational data quality