Finance Data Engineering Analyst - SAS- Banking at VAM Systems

Manama, Capital, Bahrain -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

0.0

Posted On

16 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Finance, Data Analysis, Data Engineering, SQL, SAS, MS Excel, Project Management, Stakeholder Management, Data Quality, Data Warehousing, Data Mapping, UAT, ETL, Data Transformation, Performance Tuning, SAS Management Console

Industry

IT Services and IT Consulting

Description

Job Description VAM Systems is currently looking for Finance Data Engineering 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)

Responsibilities

Support the finance team on data and analytics activities and Data Warehouse based on knowledge of banking and financial reporting. Ensure accurate and reconciled reporting while coordinating with finance business partners to address data issues.