Associate Manager- Data Analytics Jobs in Dubai | UAE Jobs 2022

Majid Al Futtaim

Associate Manager- Data Analytics Jobs in Dubai | UAE Jobs 2022

Majid Al Futtaim Careers is Looking to Hire Following Staff – Associate Manager- Data Analytics Jobs in Dubai | UAE Jobs 2022

About Majid Al Futtaim

Majid Al Futtaim was an Emirati billionaire businessman, and the founder and owner of the Majid Al Futtaim Group, an Emirati real estate and retail conglomerate, with projects in Asia and Africa. Majid al Futtaim currently operates 90 hypermarkets and 120 supermarkets in 15 countries. In the first half of 2018, Majid Al Futtaim Retail launched its largest regional distribution center in Dubai’s National Industries Park.

Job Description

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.

Job Responsibilities

  • 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
  • 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
  • Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organization
  • 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
  • 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
  • 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

Job Requirements:

  • Bachelor’s Degree in a computer science / engineering / math or related technical discipline
  • Master’s Degree in a similar field is preferred
  • 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
  • Strong experience in several visualization tools such as Tableau, Power Bi, etc. supporting data dash boarding 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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