Security clearance will be required for the eligible applicants
Experience in data analysis.
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. intechnical/functional specifications.
Possess finance domain knowledge.
Problem solving and logical thinking.
Experience in working with enterprise databases usingdatabase technologies (MS SQL, Snowflake,Redshift and PostgreSQL) and data integration products (e.g. Informatica)
