Manager - Data Analytics

The Manager – Data Analytics owns the analytics and insight agenda for an assigned business domain end-to-end: shaping the demand with senior business stakeholders, leading the team that delivers it, and being accountable for the quality of the analysis and the business impact it produces. Following the consolidation of Data & AI into a single organisation, there is no separate engagement or delivery layer between the function and the business. The role holder partners with business stakeholders directly, shapes and prioritises the work, delivers it, and remains accountable for adoption and realised impact rather than handing over at any single stage. Majid Al Futtaim is continuing to develop and build its Data & AI talent to support its advanced analytics and AI agenda. Team members are given the latitude to shape the trajectory of the function and to bring their ideas and visions into fruition, and the role holder will contribute directly to enhancing the Data & AI value proposition in line with the long-term objectives of Majid Al Futtaim. Minimum Qualifications/education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative discipline. Master’s degree in a similar field is preferred. Minimum experience: 7+ years in analytics roles in an international environment, building complex analyses and evaluation tools for assessing and tracking performance, with a demonstrable track record of business value delivered. 2+ years in retail, FMCG or e-commerce is preferred; GCC experience is an advantage. Direct experience owning senior stakeholder relationships and driving adoption of analytics products across multiple markets or functions. Exposure to at least one of: customer analytics and CVM, assortment, pricing, promotion effectiveness, inventory management or workforce optimisation. Skills: Expert in SQL and proficient in Python or R for analysis, modelling and automation. Strong experience with enterprise BI and visualisation tools – Power BI preferred, or Tableau, Looker or equivalent – including semantic modelling and performance tuning. Working experience with modern cloud data platforms such as Databricks, Snowflake, Azure Data Factory or Synapse, with version control (Git) and CI/CD practice for analytics. Advanced command of A/B testing, experimental design, causal inference and statistical analysis. Strong knowledge of modelling techniques such as logistic and linear regression, clustering, decision trees, random forest, gradient boosting and time-series forecasting. Familiarity with GenAI-assisted analysis and the judgement to apply it where it adds value. Comfortable with ambiguity; drives stakeholder alignment on complex issues and removes bottlenecks throughout the use-case lifecycle. Proven ability to see the big picture while retaining attention to detail, with a solid understanding of the analytics value chain from both a business and a technical standpoint. Strong business communication and presentation skills, with proven experience managing executive-level communications. Excellent organisational skills with the ability to prioritise workload across competing demands. Strong English language skills (speaking, reading and writing) with exceptional business writing; Arabic is a plus. Proficient in MS Office (Excel, Word, PowerPoint). Show more Show less