Manager - Data Analytics | Emirati Talent

ROLE SUMMARY The Manager - Data Analytics leads the end-to-end analytics agenda for a business domain, partnering with stakeholders to prioritize needs, deliver actionable insights, and drive measurable business impact.

The role is accountable for analytics quality, adoption, and value realization while contributing to Majid Al Futtaim's Data & AI growth and innovation agenda.

ROLE PROFILE Own the end-to-end analytics agenda for a business domain, partnering with senior stakeholders to align analytics initiatives with business strategy and priorities. Translate business challenges into a prioritized portfolio of analytics use cases with clear objectives, success measures, and value targets.

Lead analytics projects from scoping to implementation, ensuring timely delivery of high-quality insights and recommendations. Drive adoption and business impact by embedding analytics solutions into decision-making processes and tracking realized outcomes.

Develop actionable insights through advanced analysis, data storytelling, and performance reporting for operational and executive stakeholders. Establish and uphold analytics standards, governance, data quality controls, and compliance with data privacy and responsible AI requirements.

Build scalable analytics capabilities through reusable assets, innovation, emerging technologies, and continuous process improvement. Lead, mentor, and develop the analytics team, fostering a high-performance culture while supporting talent growth and organizational objectives.

REQUIREMENTS Bachelor's degree in a quantitative field (Master's preferred), 6-9 years of analytics experience, 2+ years of team leadership, strong stakeholder management skills, and exposure to retail, FMCG, e-commerce, customer analytics, pricing, inventory etc..

Lead the analytics strategy and roadmap for a business domain, aligning high-value analytics initiatives with business objectives, stakeholder priorities, and measurable outcomes.

Build strong senior stakeholder partnerships, influencing decision-making through data-driven insights, executive-level communication, and impactful storytelling.

Drive end-to-end analytics delivery, translating complex business problems into actionable solutions while ensuring adoption, governance, and realized business impact.

Provide technical and analytical leadership, leveraging expertise in SQL, Python/R, BI platforms, cloud data technologies, statistical modeling, experimentation, and AI-enabled analytics.

Champion data quality, governance, privacy, and responsible AI, ensuring analytical rigor, compliance, reproducibility, and continuous improvement across the analytics lifecycle.