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Manager - Data Analytics

Majid Al Futtaim
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Analytics leadership and deliverySQLPython or RPower BI, Tableau, Looker, or equivalentSemantic modelling and performance tuningDatabricks, Snowflake, Azure Data Factory, or Synapse

Full Job Posting

Role overview

Own the analytics and insight agenda for an assigned business domain, from shaping demand with senior stakeholders through delivery and realized business impact.

Partner directly with business stakeholders; there is no separate engagement or delivery layer between the function and the business.

Contribute to developing the Data & AI value proposition and supporting the company’s long-term objectives.

Education and experience

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative discipline; a similar master’s degree is preferred.
  • At least 7 years in analytics roles in an international environment, building complex analyses and evaluation tools, with a demonstrable record of business value delivered.
  • Two or more years in retail, FMCG, or e-commerce is preferred; GCC experience is an advantage.
  • Experience owning senior stakeholder relationships and driving analytics product adoption across markets or functions.
  • Exposure to at least one of customer analytics and CVM, assortment, pricing, promotion effectiveness, inventory management, or workforce optimization.

Technical skills

  • Expert SQL and proficiency in Python or R for analysis, modelling, and automation.
  • Strong enterprise BI and visualization experience, including semantic modelling and performance tuning; Power BI is preferred, or Tableau, Looker, or equivalent.
  • Experience with Databricks, Snowflake, Azure Data Factory, or Synapse, plus Git and CI/CD practice for analytics.
  • Advanced A/B testing, experimental design, causal inference, and statistical analysis.
  • Knowledge of regression, clustering, decision trees, random forest, gradient boosting, and time-series forecasting.
  • Familiarity with GenAI-assisted analysis and judgment about where it adds value.
  • Proficient in MS Office, including Excel, Word, and PowerPoint.

Responsibilities

  • Shape and prioritize analytics work with senior stakeholders, lead the delivery team, and ensure high-quality analysis and business impact.
  • Drive stakeholder alignment, adoption of analytics products, and realized impact across the use-case lifecycle.
  • Manage complex issues and remove bottlenecks across competing demands.

Additional capabilities

  • Strong business communication and presentation skills, including executive-level communications.
  • Strong organization and prioritization skills; comfortable with ambiguity.
  • Strong English speaking, reading, and writing skills; Arabic is a plus.

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