Manager - Data Analytics

Majid Al Futtaim; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

Majid Al Futtaim is seeking a Manager - Data Analytics to lead analytics strategy and delivery for a Dubai-based business domain. You will transform business challenges into actionable insights, oversee projects from scoping to implementation, and partner with senior stakeholders to drive measurable improvements.

The role blends technical analytics with strategic leadership and governance. You will guide a team, apply advanced analytics, and ensure outputs are integrated into decision-making.

Qualifications

• Bachelor's degree in a quantitative field is required or equivalent.
• master's degree is preferred for advanced analytics leadership.
• 6-9 years of professional analytics experience with at least 2 years in team leadership.

Responsibilities

• Lead end-to-end analytics agenda for an assigned business domain.
• Develop and maintain an analytics strategy and roadmap.
• Partne r with senior stakeholders to translate objectives into analytics requirements.
• Translate business problems into prioritized analytics use cases.
• Define success measures and value targets for analytics initiatives.
• Oversee analytics projects from scoping to implementation.
• Drive data governance and responsible AI practices.
• Mentor and develop the analytics team.

Skills

Stakeholder management

Team leadership

Analytics strategy

Data storytelling

Communication

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SQL

Python or R

BI platforms

Cloud data technologies

Job description

Job Snapshot

• Role: Manager - Data Analytics
• Location: Dubai, United Arab Emirates
• Industry: Retail
• Function: Business Analysis-Research
• Experience: 6-9 years, including 2 years in team leadership
• Job Type: Full Time
• Work Arrangement: On-site

Position Overview

Majid Al Futtaim is seeking an experienced Manager - Data Analytics to lead the analytics strategy and delivery agenda for an assigned business domain in Dubai, United Arab Emirates. The role focuses on transforming business challenges into actionable insights, developing high-value analytics solutions, and supporting measurable improvements in organizational performance. Working closely with senior stakeholders, the Manager - Data Analytics will oversee analytics initiatives from initial scoping through implementation, ensuring that analytical outputs are accurate, relevant, and effectively integrated into business decision-making. The position combines advanced analytics expertise, strategic stakeholder management, data governance, and team leadership. It also contributes to Majid Al Futtaim's Data and AI growth and innovation agenda through scalable analytical capabilities, emerging technologies, and continuous improvement.

Job Details

• Country: United Arab Emirates
• City: Dubai
• Industry: Retail
• Function: Business Analysis-Research
• Salary: Not disclosed
• Gender: No Preference
• Candidate Nationality: Not specified
• Job Type: Full Time
• Work Arrangement: On-site

Key Responsibilities

• Lead the end-to-end analytics agenda for an assigned business domain, aligning initiatives with business strategy and organizational priorities.
• Develop and maintain an analytics strategy and roadmap focused on high-value business opportunities.
• Partner with senior stakeholders to understand business objectives, operational challenges, and analytical requirements.
• Translate complex business problems into a prioritized portfolio of analytics use cases.
• Define clear objectives, success measures, and value targets for analytics initiatives.
• Prioritize analytical activities based on business needs, stakeholder expectations, and measurable outcomes.
• Ensure analytics initiatives contribute to strategic planning, operational performance, and informed decision-making.
• Analytics Project Management and Delivery
  • Manage analytics projects throughout the delivery lifecycle, from requirements gathering and scoping to implementation.
  • Coordinate analytical activities to ensure timely delivery of high-quality insights and recommendations.
  • Translate business requirements into structured analytical approaches and practical solutions.
  • Maintain analytical quality and consistency throughout project execution.
  • Collaborate with business stakeholders to integrate analytics solutions into operational processes.
  • Monitor the adoption of analytical solutions and evaluate their effectiveness against defined objectives.
  • Track realized business outcomes to demonstrate the value of analytics initiatives.
• Advanced Analytics and Business Insights
  • Conduct and oversee advanced analytical activities to identify business trends, performance drivers, and improvement opportunities.
  • Develop actionable insights through statistical analysis, analytical modeling, and performance reporting.
  • Apply data storytelling techniques to communicate findings clearly to operational and executive stakeholders.
  • Prepare analytical recommendations that support business planning and performance improvement.
  • Use relevant business data to support analysis in areas such as retail, FMCG, e-commerce, customer behavior, pricing, and inventory.
  • Support evidence-based decision-making through reliable analytical methods and clear interpretation of results.
  • Ensure analytical findings are presented in a format that supports practical business action.
• Technical and Analytical Leadership
  • Provide technical guidance across analytics initiatives using SQL, Python or R, business intelligence platforms, and cloud data technologies.
  • Apply statistical modeling and experimentation techniques to address complex business questions.
  • Leverage AI-enabled analytics where appropriate to strengthen analytical capabilities.
  • Guide the development of scalable analytical solutions and reusable assets.
  • Encourage the adoption of emerging technologies and innovative analytical approaches.
  • Promote consistency, analytical rigor, and reproducibility across technical activities.
  • Identify opportunities to improve analytical workflows, tools, and delivery processes.
• Data Governance, Quality and Responsible AI
  • Establish and maintain appropriate analytics standards, governance practices, and data quality controls.
  • Ensure analytical activities comply with applicable data privacy requirements and responsible AI principles.
  • Promote the accuracy, reliability, and consistency of data used in analytical models and reporting.
  • Support compliance with organizational data governance policies and relevant requirements.
  • Maintain appropriate analytical documentation and reproducible processes.
  • Encourage continuous improvement in data quality and analytical methodologies.
  • Identify governance or quality concerns and coordinate appropriate corrective actions.
• Stakeholder Engagement and Business Value
  • Build strong working relationships with senior business stakeholders and cross-functional teams.
  • Understand stakeholder priorities and translate them into actionable analytical requirements.
  • Communicate complex analytical findings through executive presentations, performance reports, and effective data storytelling.
  • Influence business decisions through evidence-based recommendations and clearly communicated insights.
  • Work with stakeholders to encourage the practical adoption of analytics solutions.
  • Monitor the business impact of implemented analytical initiatives.
  • Evaluate realized outcomes against established value targets and performance measures.
  • Maintain alignment between analytics delivery and changing business priorities.
• Team Leadership and Capability Development
  • Lead, mentor, and develop the analytics team to support effective delivery of business objectives.
  • Provide technical direction and professional guidance to team members.
  • Foster a high-performance culture focused on collaboration, accountability, innovation, and analytical quality.
  • Support the professional growth and development of analytics talent.
  • Encourage knowledge sharing and continuous learning across the team.
  • Promote effective analytical practices and reusable solutions.
  • Align team activities with organizational objectives and the broader Data and AI agenda.

Qualifications and Experience

• Bachelor 's degree in a quantitative field.
• Master 's degree in a relevant discipline is preferred.
• 6-9 years of professional experience in analytics.
• At least 2 years of team leadership experience.
• Strong experience in stakeholder management and working with senior business leaders.
• Exposure to retail, fast-moving consumer goods (FMCG), e-commerce, customer analytics, pricing, inventory, or related business areas.
• Experience developing analytics strategies and roadmaps aligned with business priorities.
• Demonstrated ability to manage analytics initiatives from initial business requirements through implementation.
• Experience translating complex analytical findings into practical business recommendations.

Technical Skills and Expertise

• Strong SQL knowledge for data analysis and analytical problem-solving.
• Expertise in Python or R for analytical and statistical applications.
• Experience with business intelligence platforms and performance reporting tools.
• Knowledge of cloud data technologies and analytics environments.
• Strong understanding of statistical modeling and experimentation.
• Familiarity with AI-enabled analytics and emerging analytical technologies.
• Ability to design scalable analytical solutions and reusable analytical assets.
• Knowledge of data quality controls, governance, privacy, and responsible AI practices.
• Strong analytical reasoning and interpretation skills.
• Ability to communicate insights through effective data storytelling and executive reporting.

Leadership and Professional Competencies

• Strategic thinking and the ability to align analytics priorities with business objectives.
• Strong commercial awareness and understanding of business performance.
• Excellent stakeholder engagement, communication, and presentation skills.
• Ability to influence decision-making through analytical evidence and recommendations.
• Effective project prioritization and management capabilities.
• Strong problem-solving skills and attention to analytical quality.
• Ability to lead and develop a high-performing analytics team.
• Collaborative approach to working with cross-functional stakeholders.
• Commitment to innovation, continuous improvement, and responsible data practices.
• Focus on measurable business outcomes and the adoption of analytics solutions.

About Majid Al Futtaim

Majid Al Futtaim operates across shopping malls, retail, communities, and entertainment businesses in the Middle East, North Africa, and Central Asia. The organization continues to develop its Data and AI capabilities to support business performance, innovation, and evidence-based decision-making. As Manager - Data Analytics, you will contribute to this agenda by leading analytics initiatives, strengthening analytical capabilities, developing team expertise, and supporting the delivery of measurable business value.