SAS Analyst - Banking
TMI Group
Job Summary
VAM Systems is seeking a SAS Analyst for their Bahrain operations. The role involves supporting the finance team with data and analytics activities, focusing on Dataware House (DWH) based on banking, financial reporting, and data engineering knowledge. Key responsibilities include daily finance data analysis, hierarchical mappings, root cause analysis of data issues, ensuring accurate reporting, data quality reviews, and supporting ad-hoc requests for financial/regulatory reports. The candidate will also work on SQL queries, SAS ETL jobs, and ensure data architecture consistency.
Must Have
- Support finance team on data and analytics activities and Dataware House (DWH).
- Coordinate and interact with finance business partner for daily finance data analysis.
- Understand and perform root cause analysis of identified data issues.
- Ensure accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
- Conduct review of data quality and reconciliations for finance reports.
- Maintain reporting logic/programs.
- Support finance team in ad-hoc requests and organizing data for financial/regulatory reports.
- Perform data mapping and UAT.
- Ensure consistency of bank's data architecture, data flows, and business logic.
- Write and document complex SQL Query, Procedures, and functions.
- Create algorithms that automate financial interactions and data controls.
- Handle SAS ETL jobs, data transformation, validation, analysis, and performance tuning.
Good to Have
- Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation.
- Prior project management/stakeholder management.
Job Description
Company Description
Job Description
VAM Systems is currently looking for SAS Analyst for our Bahrain operations with the following skillsets & terms and conditions:
Qualifications :
- Bachelor’s Degree
- Engineer (B.E.)/ MCA
- Certification in SQL/SAS
Experience : 5-8 years
Key Objectives
- Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.
Analytical/Technical Skills:
- Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
- Hands-on experience on MS Excel
- Prior project management/stakeholder management is desired
Responsibilities
- Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
- Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
- Mastering the Intersection of Finance, Data Analysis and Data Engineering.
- Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
- Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
- Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
- Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
- Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
- SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library
Terms and conditions
Joining time frame: (15 - 30 days)
Additional Information
Terms and conditions:
Joining time frame: maximum 4 weeks