Experience in managing data reconciliation/quality checks (gather requirements, implementation, monitoring and troubleshooting).
Proficient in SQL and Python
Experience in End-to-End Data Processing
Experience in performing UAT.
Able to manage SLA and queries from end users.
Familiar with providing documentation support, e.g. in technical/functional specifications.
Possess finance domain knowledge.
Problem solving and logical thinking.
2 years of experience maybe considered but should have strong skillsets
Client prefers 4-8 years of experience in data analysis and operations support
Experience in working with enterprise databases using database technologies (MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica)
