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Job Description & How to Apply Below
Requirements
- Bachelors degree in Computer Science or a related field.
- 4-6 years of relevant professional experience in data engineering, financial data management, or a related domain.
- Professional training and hands-on experience in SQL development, SAS Enterprise Guide (EG), and SAS Data Integration (DI).
- Expert-level proficiency in ETL/EET/ETM tools and related data integration processes.
- Advanced experience with SQL Server T-SQL, including stored procedure and function development.
- Hands-on experience using SAS Enterprise Guide (EG) and SAS Data Integration (DI).
- Proven experience in the design, implementation, and maintenance of enterprise data warehouses.
- Strong expertise in data modeling, including dimensional modeling, star schema, and snowflake schema.
- Experience designing and deploying data marts to support business intelligence and reporting needs.
- Strong understanding of financial reporting, including Balance Sheet, Profit & Loss, and Cash Flow statements.
- Knowledge of banking regulations and regulatory compliance requirements.
- Solid understanding of risk management, including market risk, credit risk, and operational risk.
- Deep expertise in financial statements, Profit & Loss analysis, balance sheet structures, and market risk metrics.
- Experience managing and supporting month-end close processes within financial environments.
- Strong analytical and problem-solving skills with a high level of attention to detail.
- Demonstrated commitment to data accuracy, consistency, and overall data quality.
- Ability to perform effectively in fast-paced, high-pressure financial environments.
- Excellent communication skills with the ability to collaborate across cross-functional teams.
- Experience with batch processing systems and automated reporting solutions.
- Consolidate and analyze financial data, including budgets, forecasts, balance sheets, and Profit & Loss statements.
- Evaluate financial data in line with company goals and overall financial position.
- Identify and resolve discrepancies in financial data with accuracy.
- Manage and support the month-end close process with precision.
- Build stored procedures and ETL jobs to reconcile transactions across multiple systems.
- Compare, validate, and correct data to ensure consistency and accuracy.
- Develop SQL Server T-SQL procedures and functions for batch processing and reporting.
- Align data processing solutions with business and user requirements.
- Design and implement SAS Enterprise Guide and SAS Data Integration jobs for complex transformations and analytics.
- Contribute to data warehouse design and implementation using dimensional modeling.
- Support data architecture components, including schemas and warehouse structures.
- Design, implement, and optimize relational database management systems.
- Develop data marts to meet specific business intelligence and reporting needs.
- Ensure data solutions comply with regulatory and financial reporting standards.
- Support risk reporting processes with timely and accurate data delivery.
- Maintain data integrity for market risk, credit risk, and operational risk reporting.
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