Data Analyst- Transformation & Performance Management Ayedh Hasain A Abndajem

Job Description

Roles & Responsibilities

Desired Candidate Profile

REQUIRED SKILLS & COMPETENCIES

A. Technical Skills

• Advanced proficiency in data analysis and visualization tools (Power BI, Tableau, or similar)

• Hands-on experience with ClearPoint Strategy or equivalent strategic performance management platforms

• Strong Excel/Google Sheets skills including advanced formulas, pivot tables, macros, and data modeling

• Proficiency in SQL for data extraction and manipulation

• Experience with project management and collaboration tools (MS Project, Smartsheet, Jira, Asana)

• Familiarity with BI platforms, data warehousing concepts, and ETL processes

• Knowledge of real estate analytics (portfolio management, occupancy tracking, lease management) is a plus.

  
  

  B. Transformation & PMO Skills

  • Deep understanding of transformation program structures, governance frameworks, and phase-gate methodologies

  • Experience developing and tracking strategic KPIs, operational metrics, and transformation program scorecards

  • Knowledge of risk management frameworks, issue escalation protocols, and RAID (Risks, Assumptions, Issues, Dependencies) logs

  • Familiarity with change management principles and organizational transformation best practices

  • Experience supporting PMO/TMO functions in large-scale transformation or change initiatives.

    
    

  C. Analytical & Problem-Solving Skills

  • Strong analytical thinking with ability to interpret complex datasets and identify actionable insights

  • Excellent attention to detail and commitment to data accuracy and quality

  • Ability to structure ambiguous problems and develop data-driven solutions

  • Critical thinking skills to challenge assumptions and validate data integrity

  • Proactive approach to identifying risks, bottlenecks, and opportunities for improvement

    
    

  D. Communication & Interpersonal Skills

  • Excellent written and verbal communication skills in English (Arabic proficiency is a plus)

  • Ability to present complex data insights to non-technical stakeholders in a clear and compelling manner

  • Strong stakeholder management skills with ability to work across multiple teams and hierarchy levels

  • Collaborative mindset with ability to work effectively in cross-functional transformation teams

  • High level of professionalism, discretion, and ability to handle confidential information.

MINIMUM REQUIREMENTS

A. Educational Qualifications

• Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, Information Systems, or related field

• Master's degree in Business Administration (MBA), Data Analytics, or related discipline is preferred.

  
  

B. Professional Experience

• Minimum of 5-7 years of experience in data analysis, business intelligence, or performance management roles

• At least 2-3 years of experience supporting transformation programs, PMO/TMO functions, or large-scale organizational change initiatives

• Proven track record of designing and managing strategic dashboards and KPI tracking systems

• Experience working in real estate, asset management, or family office environments is highly desirable

• Demonstrated experience with transformation governance frameworks, gate reviews, and program reporting.

  
  

C. Professional Certifications (Preferred)

• Project Management Professional (PMP) or PRINCE2 certification

• Certified Business Analysis Professional (CBAP) or similar

• Change Management certification (e.g., Prosci ADKAR, CCMP)

• Data analytics or BI platform certifications (e.g., Microsoft Power BI Data Analyst, Tableau Desktop Specialist)

• ClearPoint Strategy platform certification (if available)

REQUIRED CORE COMPETENCIES

• Data-Driven Decision Making: Ability to transform raw data into strategic insights that drive organizational decisions

• Strategic Thinking: Understanding of how data analytics supports broader organizational transformation and strategic objectives

• Attention to Detail: Meticulous approach to data quality, accuracy, and validation

• Adaptability & Agility: Ability to thrive in a fast-paced transformation environment with changing priorities

• Stakeholder Management: Building trust and credibility with diverse stakeholders across all organizational levels

• Continuous Learning: Commitment to staying current with emerging analytics tools, methodologies, and industry best practices

• Accountability & Ownership: Taking responsibility for deliverables and proactively addressing challenges

• Collaboration & Teamwork: Working effectively within cross-functional teams to achieve shared transformation goals