What Jobs are available for Data in Bahrain?

• Assist in data collection, cleaning, and preprocessing using various tools and techniques.
• Learn and apply statistical methods for data analysis and interpretation.
• Gain hands-on experience with machine learning algorithms and their implementation.
• Develop data visualization skills to communicate findings effectively.
• Support senior data scientists in developing predictive models and data-driven solutions.
• Participate in team meetings and contribute to project discussions.
• Understand and adhere to data privacy and security best practices.
• Develop proficiency in programming languages commonly used in data science, such as Python and R.
• Explore various data science tools and platforms.
• Receive mentorship and guidance from experienced data science professionals.

• A strong academic background, ideally with a degree or strong performance in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
• A genuine passion for data and a keen analytical mindset.
• Excellent problem-solving skills and attention to detail.
• Basic understanding of programming concepts; experience with Python or R is a plus but not mandatory.
• Strong communication skills, both written and verbal.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must be legally eligible to work in the designated region (or capable of working remotely from an approved location).

• Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.
• Performing exploratory data analysis to identify patterns, trends, and anomalies.
• Developing and implementing statistical models and machine learning algorithms under guidance.
• Creating data visualizations and dashboards to communicate findings effectively.
• Supporting senior data scientists in hypothesis testing and experimental design.
• Contributing to the development of data-driven solutions to business problems.
• Writing and maintaining code for data analysis and model implementation (e.g., Python, R).
• Collaborating with cross-functional teams to understand data needs and deliver insights.
• Documenting methodologies, processes, and findings clearly and concisely.
• Staying updated with the latest advancements in data science and machine learning.
• Participating in team meetings and contributing to discussions on analytical approaches.
• Assisting in the validation and testing of developed models.

Experience Required:

Experience in the following tools (3+ years)

• 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
• Experience to configure/install applications in the servers(windows/Linux/Unix) and

basic knowledge of DNS, Ports, and Firewalls (3+ years)

• Experience managing and further developing distributed systems and

clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)

• Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
• Experience in C# or Java (3+ years)
• Banking and Finance, Financial accounting and Reporting Environment
• Expertise in writing advanced SQL Query, Stored Procedures and functions
• ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
• Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
• Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).

Responsibility

• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company s goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Skills

• Solving Complex Problems
• Testing and Troubleshooting
• Regulatory Compliance
• Financial Reporting
• ETL/ETT/ETM Tools and Process
• Risk Management
• Data Warehouses
• Data Marts
• Balance Sheet,Profit & Loss,Market Risk
• Data Modeling
• SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch

Qualification

• BE Computer Science and Engineering

Professional Training

• SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)

Job Description
VAM Systems
is currently looking for
Data Engineer
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: days)

We are pleased to announce an opening for a
Data Engineer
with strong expertise in the
banking domain
. This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.

Requirements and responsibilities:

• Recent banking domain experience
• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

• Assist senior data scientists in data collection, cleaning, and pre-processing tasks.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop data visualizations to communicate findings effectively.
• Support the development and implementation of machine learning models under guidance.
• Write and optimize SQL queries for data extraction and manipulation.
• Contribute to the documentation of data science processes and findings.
• Participate in team meetings and present project updates.
• Learn and apply various data science methodologies and tools.
• Assist in A/B testing and experiment design.
• Adhere to data privacy and security protocols.

• Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and linear algebra.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with SQL and database concepts.
• Basic understanding of machine learning concepts and algorithms.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Enthusiasm for the field of data science and its applications.