Role Purpose:
The Associate 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.
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.
Role Details – Key Responsibilities and Accountabilities:
Data Management and Analytics Insight Delivery
Lead analytics projects to ensure high quality, consistent delivery of recommendations on time
Conduct complex analyses that translate data into actionable insights; provide analytical and data-driven decision-making support for key projects
Establish the right metrics for monitoring the business and develop dashboards and reports catering to the needs of all our stakeholders across various leadership levels
Create high quality models to measure impact of use-cases; create quantitative models to measure impact of analytics use-cases
Ensure good data quality by maintaining data validation procedures for different projects and initiatives
Communicate insights in compelling ways, creating data story telling
Develop proof of concepts for new analytics initiatives having a customer-centric approach. Build new and creative analytics products with the aim of optimizing the user experience and business operations
Coordination and Communication
Collaborate with product owners, data scientists, data engineers, and business teams and other key stakeholders as their business partner, to identify the scope of improvement and drive the right processes to deliver on the business objectives
Collaborate with product owners to develop impact measurement and tracking models for analytics use-cases
Liaise with the product team and inform and update stakeholders on product performance, plans, and progress towards metrics
Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects
Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals
Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit
Audit and Reporting
Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation
Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required
Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions
Policies and Procedures
Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit
Support on the development and implementation of relevant policies and procedures
Human Capital Responsibilities
Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management
Provide mentorship for the purpose of developing a continuous talent pipeline for key roles
Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements
Develop and implement on the job-training for the team
Provide inputs for the development of annual manpower plan
Ensure the implementation of MAF Retail’s corporate policies and relevant procedures
Personal Characteristics and Required Background:
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:
5-7 years in a senior Data Analyst 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 experience in several visualization tools such as Tableau, PowerBI, etc. supporting data dashboarding and reporting
Proficient in various statistical programming languages is a must, such as R/Python/SQL, etc.
Advanced experience in A/B testing, statistical analysis, and/or insights
Good knowledge of algorithm/modeling techniques is a must, such as Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc.
Collaborative, pragmatic and proactive problem solver
Proven ability to see the big picture with attention to details, translate data into meaningful analysis and insights, solid 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)
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