Role Details – Key Responsibilities and Accountabilities:

Data Management and Analytics Insight Delivery

• Conduct complex analyses that translate data into actionable insights; provide analytical and data-driven decision-making support for key projects
• Create automated pipelines to enable fast and scalable extraction of information
• 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 to drive business decisions
• 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 as well as product 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 provide analytics delivery support for key use-cases
• 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

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  

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 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
• Ensure the implementation of MAF Retail’s corporate policies and relevant procedures

Disclaimer: This role description reflects the general details considered necessary to describe the principal responsibilities of the role identified and shall not be construed as an exhaustive description of all the work requirements inherent to success in the role. 

Functional/Technical Competencies

• SQL, Python, PySpark, Excel, PowerPoint, Power BI

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:

• 3-5 years in a senior Data Analyst role in an international environment; creating and building evaluation tools for assessing/tracking product performance and learning associated user behaviors with the ability to demonstrate value and track record
• 2+ years in the retail/FMCG business is preferred
• Should have worked on Customer Analytics, Inventory Management or Assortmenet or Promotion pricing solution

Skills:

• Hands-on 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 SQL, Python/ PySPAK / R etc.
• Hands on experience with 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)