Power BI Engineer (Offshore) Banking

VAM Systems is currently looking for Power BI Engineer (Offshore) for our Bahrain operations with the following skillsets and terms & conditions:
Education:

    Bachelors degree in Computer Science Information Systems Data Science or a related field is required. A Masters degree is preferred.

Professional Experience:

Minimum of 58 years of hands-on experience in Business Intelligence and data analytics preferably within the banking or financial services sector.

Certifications:

    Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Technical Proficiency:

    Advanced expertise in data visualization and statistical plotting using tools such as Power BI Python and Matlab.
    Strong command of SQL for querying data modeling and ETL development.
    Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
    Familiarity with cloud-based BI platforms (e.g. Azure AWS) is a strong advantage.
    Experience in Python and statistical programming with exposure to AI/ML tools algorithms and methods.

Analytical & Modeling Skills:

    Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
    Skilled in data preparation including rationalizing classifying deriving and calculating model input variables.
    Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Business Acumen:

    Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.
    Experience in managing BI and analytics projects and collaborating with cross-functional teams.
Key Responsibilities

    Participate in defining and maintaining the Treasury analytics and reporting roadmap aligned with business priorities and strategy
    Establish a structured framework for data consumption reporting and dashboard evolution
    Proactively identify opportunities to enhance analytics maturity and reporting capabilities
    Collaborate with Treasury stakeholders (e.g. Trading ALM Investments Risk) to gather requirements and translate them into technical specifications
    Translate business needs into clear analytics use cases KPIs and reporting requirements
    Identify high-value analytical opportunities to support decision-making

Detailed Breakdown
Dashboard Development & Analytics Delivery (Core Focus)

    Design develop and maintain interactive dashboards reports and KPI scorecards using Power BI and other BI tools

Ensure solutions are:

    Dynamic and scenario-driven (what-if analysis simulations sensitivity analysis)
    User-friendly with drill-down and self-service capabilities

    Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics
    Continuously enhance dashboards based on user feedback and evolving business needs
    Ensure timely and high-quality delivery of dashboards and reporting outputs

Insights Analytics & Advanced Capabilities

    Develop actionable insights and analytics outputs relevant to Treasury Investments and Financial Institutions
    Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences
    Simplify complex analytics into actionable business insights for decision-making

Explore and implement:

    Automation of reporting and insight generation
    Dynamic scenario simulations
    Predictive analytics and AI-driven insights where applicable

Data Management & Integration

    Coordinate with internal teams (IT data engineering finance systems) to:
    Extract and integrate required datasets
    Ensure data availability accessibility and consistency
    Integrate data from multiple sources (e.g. EDW APIs flat files) into unified models
    Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function
    Optimize SQL queries and ETL processes for performance and scalability

Data Quality & Governance (Treasury Scope)

    Identify data gaps inconsistencies and limitations and work with upstream providers to improve data quality
    Ensure compliance with data governance security and privacy policies (within Treasury scope)
    Maintain proper documentation of data sources transformations and reporting logic

Stakeholder Enablement & Team Contribution

    Provide training and support to business users on BI tools and data interpretation
    Communicate insights effectively to senior leadership and end users
    Mentor team members and contribute to best practices and reusable analytics components

LANGUAGES:

    English
    Arabic

Terms and conditions

Joining time frame: (15 - 30 days)

.
 

Additional Information :

Terms and conditions: 

Joining time frame:   maximum 4 weeks

Remote Work :

No

Employment Type :

Full-time