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)

EA Number: 11C4879

Data Management Analyst/Engineer