Role Purpose:
The Manager - Data Analytics is responsible for supporting on developing and executing our Analytics Delivery and Insights roadmap, in close collaboration with our product owners, data scientists and data engineers who are spearheading the Advanced Analytics transformation across Majid Al Futtaim. The role holder is also responsible for leading a team of data analysts to drive actionable insights and deliver impactful solutions to the business.
Majid Al Futtaim Retail is continuing to develop and build its analytics talent to support its advanced analytics agenda. The various analytics use cases launched by the Retail Analytics Unit on a start-up mode will establish the unit's foundation to develop a powerful product portfolio following it's sustainable growth. As such, team members are given the latitude to shape the trajectory of the unit and bring their ideas and visions into fruition.
He/she will be at the forefront of enhancing the Advanced Analytics value proposition, in line with the long-term digital and non-digital objectives of Majid Al Futtaim.
Minimum Qualifications/education:
- Bachelor's Degree in a computer science / engineering / math or related technical discipline
- Master's Degree in a similar field is preferred
Minimum experience:
- 7+ years in a managerial Data Analytics role in an international environment; creating and building complex analyses and evaluation tools for assessing/tracking performance and learning associated user behaviors with the ability to demonstrate value and track record
- 2+ years in the retail/FMCG business is preferred
Skills:
- Strong leadership and people management capabilities with proven ability to influence senior stakeholders and build strategic partnerships
- Excellent collaboration skills with the ability to work across business, product, and technology teams
- Strong organizational skills with the ability to manage multiple priorities in dynamic environments
- Expertise in statistical analysis, experimentation (A/B testing), and insight generation
- Strong experience developing predictive and prescriptive models using techniques such as regression, classification, clustering, ensemble methods, and optimization
- Exposure to advanced methods including time-series forecasting, boosting algorithms, NLP, recommendation systems, and regularization techniques
- Expertise in building and managing analytical data pipelines, data monitoring, and quality assurance frameworks
- Strong proficiency in SQL and programming languages such as Python, R, or SAS
- Collaborative, pragmatic and proactive problem solver
- Proven ability to see the big picture with attention to details, translate data into meaningful analysis and insights, sound understanding of the analytics ecosystem and value chain from both a business and a technical standpoint
- Ability to work independently and in cross-functional teams
- Strong business communication and presentation skills with proven experience managing executive-level communications
- Excellent organizational skills with the ability to prioritize workload
- Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus
- Proficient in MS Office (Excel, Word, PowerPoint)
