Vice President – Business Intelligence and Analytics - Abu Dhabi

Only for registered members Abu Dhabi, United Arab Emirates

1 day ago

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JOB PURPOSE The VP – Business Intelligence & Analytics is a senior, hands-on leader responsible for designing, building, and scaling the organization's Business Intelligence and analytics capabilities. · This role focuses on delivering highly interactive, executive-grade dashboa ...
Job description
JOB PURPOSE

The VP – Business Intelligence & Analytics is a senior, hands-on leader responsible for designing, building, and scaling the organization's Business Intelligence and analytics capabilities.

This role focuses on delivering highly interactive, executive-grade dashboards for CxOs while enabling enterprise-wide self-service analytics through robust data models, governance, and BI best practices
You will personally develop Tableau dashboards used by senior leadership, define semantic and data modeling layers that power trusted insights, and advise, mentor, and lead a team of BI developers to deliver consistent, high-quality analytics across the organization
ROLES AND RESPONSIBILITIES
Design, build, and maintain high-impact, interactive Tableau dashboards for C-suite executives and senior leadership
Actively optimize performance, usability, and scalability of all business intelligence dashboards and reporting
Architect and roll out self-service BI capabilities, including governed datasets, certified data sources, and reusable semantic layers
Define BI standards, templates, and best practices that empower business users while maintaining governance and data quality
Drive BI adoption and analytics literacy across business functions
Design and maintain advanced analytical data models (star, snowflake, and hybrid models) optimized for BI consumption
Write advanced SQL and Python to support complex transformations, calculations, and analytical logic
Lead, advise, and mentor junior BI developers, providing hands-on guidance, technical coaching, and regular feedback
Establish development standards, code review practices, and dashboard design guidelines for the BI team
Ensure dashboards and reports are trusted, explainable, and aligned with enterprise definitions
Act as a technical authority for BI platforms, influencing architecture, best practices, and enterprise-wide metrics
RELATED YEARS OF EXPERIENCE
years of hands-on experience in Business Intelligence, analytics engineering, or data analytics roles
Proven experience delivering executive-level dashboards for CxOs and senior leadership, with a focus on clarity, storytelling, and decision support
Demonstrated success rolling out self-service BI capabilities at enterprise scale, including governed datasets, certified metrics, and semantic layers
Deep expertise with Tableau (Desktop, Server/Cloud), including advanced dashboard design, performance tuning, and scalable deployment
Strong experience designing and maintaining analytical and dimensional data models (star, snowflake, hybrid
Hands-on experience leading, mentoring, or acting as a technical authority for BI teams, while remaining actively involved in dashboard development
FIELD OF EXPERIENCE
Business Intelligence or Data Analytics
TECHNICAL AND INTERPERSONAL SKILLS
Expert-level Tableau skills, including advanced calculations, parameters, LOD expressions, and dashboard performance optimization
Advanced SQL for analytics, metric logic, and complex transformations; strong Python skills for data preparation, advanced analytics, and BI automation
Deep understanding of dimensional modelling and analytics engineering principles
Experience building and managing enterprise semantic layers and governed metric frameworks
Familiarity with modern analytics workflows, including version control for BI assets and CI/CD for analytics
Strong focus on data trust, explainability, and governance, ensuring consistent definitions across dashboards
Exceptional stakeholder engagement skills, including direct interaction with executives
QUALIFICATION
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
Master's degree and/or BI/analytics certifications (Tableau, data modelling, analytics engineering) are a plus.


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